A B C D E F G H I J K L M N O P R S T U V W X Y

A

ACTION_DOUBLE - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Participant

ACTION_HIT - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Participant

ACTION_SPLIT - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Participant

ACTION_STAND - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Participant

ACTION_SURRENDER - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Participant

actionPerformed(ActionEvent) - Method in class org.encog.examples.neural.gui.hopfield.HopfieldPattern

actionPerformed(ActionEvent) - Method in class org.encog.examples.neural.gui.predict.PredictSIN

actionPerformed(ActionEvent) - Method in class org.encog.examples.unfinished.maze.MouseMaze

AdalineDigits - Class in org.encog.examples.neural.adaline

This example demonstrates the ADALINE neural network.

AdalineDigits() - Constructor for class org.encog.examples.neural.adaline.AdalineDigits

addPlayer(Player) - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Table

AnalystExample - Class in org.encog.examples.neural.analyst

The Encog Analyst is typically used through the Encog Workbench.

AnalystExample() - Constructor for class org.encog.examples.neural.analyst.AnalystExample

autonomousMoveDirection() - Method in class org.encog.examples.unfinished.maze.NeuralMouse

AverageBenchmark - Class in org.encog.examples.neural.benchmark

AverageBenchmark() - Constructor for class org.encog.examples.neural.benchmark.AverageBenchmark

AVG_COUNT - Static variable in class org.encog.examples.neural.benchmark.AverageBenchmark

awardMoney() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Table

B

Benchmark - Class in org.encog.examples.neural.benchmark

Simple console app that uses the Encog benchmarking class.

Benchmark() - Constructor for class org.encog.examples.neural.benchmark.Benchmark

BenchmarkEncog(double[][], double[][]) - Static method in class org.encog.examples.neural.benchmark.SimpleBenchmark

benchmarkEncogFlat(double[][], double[][]) - Static method in class org.encog.examples.neural.benchmark.AverageBenchmark

BenchmarkEncogFlat(double[][], double[][]) - Static method in class org.encog.examples.neural.benchmark.SimpleBenchmark

BidirectionalAssociativeMemory - Class in org.encog.examples.neural.bam

Simple class to recognize some patterns with a Bidirectional Associative Memory (BAM) Neural Network.

BidirectionalAssociativeMemory() - Constructor for class org.encog.examples.neural.bam.BidirectionalAssociativeMemory

BinaryVsMemory - Class in org.encog.examples.neural.benchmark

BinaryVsMemory() - Constructor for class org.encog.examples.neural.benchmark.BinaryVsMemory

bipolalToString(BiPolarNeuralData) - Method in class org.encog.examples.neural.bam.BidirectionalAssociativeMemory

BITS_PER_CHAR - Static variable in class org.encog.examples.neural.bam.BidirectionalAssociativeMemory

BoltzTSP - Class in org.encog.examples.neural.boltzmann

Use a Boltzmann machine to solve the Traveling Salesman Problem.

BoltzTSP() - Constructor for class org.encog.examples.neural.boltzmann.BoltzTSP

buildOutputEquilateral(DataNormalization, InputField) - Method in class org.encog.examples.neural.forest.GenerateData

buildOutputOneOf(DataNormalization, InputField) - Method in class org.encog.examples.neural.forest.GenerateData

C

calculateScore(MLRegression) - Method in class org.encog.examples.neural.lunar.PilotScore

calculateScore(Genome) - Method in class org.encog.examples.nonlinear.basicstrategy.ScorePlayer

calculateScore() - Method in class org.encog.examples.nonlinear.tsp.anneal.TSPSimulatedAnnealing

calculateScore(Genome) - Method in class org.encog.examples.nonlinear.tsp.genetic.TSPScore

calculateTotal() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Hand

calculateWeights(BoltzmannMachine) - Method in class org.encog.examples.neural.boltzmann.BoltzTSP

CARDS_INA_DECK - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

CELL_SIZE - Static variable in class org.encog.examples.neural.gui.som.MapPanel

cellHeight - Variable in class org.encog.examples.unfinished.maze.MazePanel

cellWidth - Variable in class org.encog.examples.unfinished.maze.MazePanel

CHAR_HEIGHT - Static variable in class org.encog.examples.neural.adaline.AdalineDigits

CHAR_WIDTH - Static variable in class org.encog.examples.neural.adaline.AdalineDigits

CITIES - Static variable in class org.encog.examples.nonlinear.tsp.anneal.SolveTSP

cities - Variable in class org.encog.examples.nonlinear.tsp.anneal.TSPSimulatedAnnealing

CITIES - Static variable in class org.encog.examples.nonlinear.tsp.genetic.SolveTSP

City - Class in org.encog.examples.nonlinear.tsp

City: Holds the location of a city for the traveling salesman problem.

City(int, int) - Constructor for class org.encog.examples.nonlinear.tsp.City

Constructor.

clear() - Method in class org.encog.examples.neural.gui.hopfield.HopfieldPanel

Clear the grid.

clear() - Method in class org.encog.examples.neural.gui.ocr.Entry

Called to clear the image.

clear() - Method in class org.encog.examples.neural.gui.ocr.SampleData

Clear the downsampled image

clearMatrix() - Method in class org.encog.examples.neural.gui.hopfield.HopfieldPanel

Clear the weight matrix.

clone() - Method in class org.encog.examples.neural.gui.ocr.SampleData

Create a copy of this sample

columns - Variable in class org.encog.examples.unfinished.maze.Maze

columnWalls - Variable in class org.encog.examples.unfinished.maze.Maze

compareTo(SampleData) - Method in class org.encog.examples.neural.gui.ocr.SampleData

Compare this sample to another, used for sorting.

COMPL - Static variable in class org.encog.examples.neural.benchmark.FahlmanEncoder

componentHidden(ComponentEvent) - Method in class org.encog.examples.neural.gui.predict.GraphPanel

componentMoved(ComponentEvent) - Method in class org.encog.examples.neural.gui.predict.GraphPanel

componentResized(ComponentEvent) - Method in class org.encog.examples.neural.gui.predict.GraphPanel

componentShown(ComponentEvent) - Method in class org.encog.examples.neural.gui.predict.GraphPanel

Config - Class in org.encog.examples.neural.predict.market

Basic config info for the market prediction example.

Config() - Constructor for class org.encog.examples.neural.predict.market.Config

Constants - Class in org.encog.examples.unfinished.maze

Constants() - Constructor for class org.encog.examples.unfinished.maze.Constants

convertPattern(String[][], int) - Method in class org.encog.examples.neural.hopfield.HopfieldAssociate

copy(File, File, int, int, int) - Method in class org.encog.examples.neural.forest.GenerateData

COUNT - Static variable in class org.encog.examples.neural.benchmark.TestConverge

createCities() - Method in class org.encog.examples.neural.boltzmann.BoltzTSP

createHand(double) - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Participant

createNetwork() - Method in class org.encog.examples.neural.cpn.RocketCPN

createNetwork() - Method in class org.encog.examples.neural.cross.CrossValidateSunspot

createNetwork() - Static method in class org.encog.examples.neural.lunar.LunarLander

createNetwork() - Method in class org.encog.examples.neural.predict.sunspot.PredictSunspot

createNetwork() - Method in class org.encog.examples.neural.predict.sunspot.PredictSunspotSVM

createNetwork() - Static method in class org.encog.examples.neural.xor.XORDisplay

CrossValidateSunspot - Class in org.encog.examples.neural.cross

Use cross validation to predict sunspots.

CrossValidateSunspot() - Constructor for class org.encog.examples.neural.cross.CrossValidateSunspot

CUT_LENGTH - Static variable in class org.encog.examples.nonlinear.basicstrategy.Play21

CUT_LENGTH - Static variable in class org.encog.examples.nonlinear.tsp.genetic.SolveTSP

CYCLES - Static variable in class org.encog.examples.nonlinear.tsp.anneal.SolveTSP

D

DATA - Static variable in class org.encog.examples.clustering.kmeans.SimpleKMeans

The data to be clustered.

deal() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Table

Dealer - Class in org.encog.examples.nonlinear.basicstrategy.blackjack

Dealer() - Constructor for class org.encog.examples.nonlinear.basicstrategy.blackjack.Dealer

decks() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

decode() - Method in class org.encog.examples.nonlinear.basicstrategy.PlayerGenome

decode() - Method in class org.encog.examples.nonlinear.tsp.genetic.TSPGenome

determineAngle(MLData) - Method in class org.encog.examples.neural.cpn.RocketCPN

determineDirection(double) - Static method in class org.encog.examples.neural.predict.market.MarketEvaluate

determineTreeType(OutputEquilateral, MLData) - Method in class org.encog.examples.neural.forest.Evaluate

DIGITS - Static variable in class org.encog.examples.neural.adaline.AdalineDigits

display(BiPolarNeuralData, BiPolarNeuralData) - Method in class org.encog.examples.neural.hopfield.HopfieldAssociate

displaySolution() - Method in class org.encog.examples.nonlinear.tsp.anneal.SolveTSP

Display the cities in the final path.

displaySolution() - Method in class org.encog.examples.nonlinear.tsp.genetic.SolveTSP

Display the cities in the final path.

displayWeights(FlatNetwork) - Static method in class org.encog.examples.neural.xor.XORDisplay

distance(int, int) - Method in class org.encog.examples.nonlinear.tsp.anneal.TSPSimulatedAnnealing

Called to get the distance between two cities.

distort(double[], double) - Static method in class org.encog.examples.neural.benchmark.ErrorMethod

downSample() - Method in class org.encog.examples.neural.gui.ocr.Entry

Called to downsample the image and store it in the down sample component.

downSampleBottom - Variable in class org.encog.examples.neural.gui.ocr.Entry

Specifies the bottom boundary of the cropping rectangle.

downSampleLeft - Variable in class org.encog.examples.neural.gui.ocr.Entry

Specifies the left boundary of the cropping rectangle.

downSampleRegion(int, int) - Method in class org.encog.examples.neural.gui.ocr.Entry

Called to downsample a quadrant of the image.

downSampleRight - Variable in class org.encog.examples.neural.gui.ocr.Entry

Specifies the right boundary of the cropping rectangle.

downSampleTop - Variable in class org.encog.examples.neural.gui.ocr.Entry

Specifies the top boundary of the cropping rectangle.

dumpFieldInfo(EncogAnalyst) - Static method in class org.encog.examples.neural.normalize.NormalizeFile

E

EAST - Static variable in class org.encog.examples.unfinished.maze.Maze

ElmanXOR - Class in org.encog.examples.neural.recurrent.elman

Implement an Elman style neural network with Encog.

ElmanXOR() - Constructor for class org.encog.examples.neural.recurrent.elman.ElmanXOR

encode() - Method in class org.encog.examples.nonlinear.basicstrategy.PlayerGenome

encode() - Method in class org.encog.examples.nonlinear.tsp.genetic.TSPGenome

EncogPersistence - Class in org.encog.examples.neural.persist

This example shows how to use Encog persistence to store a neural network to an EG file.

EncogPersistence() - Constructor for class org.encog.examples.neural.persist.EncogPersistence

Entry - Class in org.encog.examples.neural.gui.ocr

Entry: GUI element to allow the user to enter a character by drawing it.

entryGraphics - Variable in class org.encog.examples.neural.gui.ocr.Entry

A graphics handle to the image that the user is drawing into.

entryImage - Variable in class org.encog.examples.neural.gui.ocr.Entry

The image that the user is drawing into.

ErrorMethod - Class in org.encog.examples.neural.benchmark

ErrorMethod() - Constructor for class org.encog.examples.neural.benchmark.ErrorMethod

evaluate(ErrorCalculationMode, double[], double[]) - Static method in class org.encog.examples.neural.benchmark.ErrorMethod

evaluate() - Static method in class org.encog.examples.neural.benchmark.FahlmanEncoder

evaluate(BasicNetwork, MLDataSet) - Static method in class org.encog.examples.neural.benchmark.WeightInitialization

Evaluate - Class in org.encog.examples.neural.forest

Evaluate(ForestConfig) - Constructor for class org.encog.examples.neural.forest.Evaluate

evaluate() - Method in class org.encog.examples.neural.forest.Evaluate

evaluate(ForestConfig) - Static method in class org.encog.examples.neural.forest.ForestCover

evaluate(HopfieldNetwork, String[][]) - Method in class org.encog.examples.neural.hopfield.HopfieldAssociate

evaluate(File) - Static method in class org.encog.examples.neural.predict.market.MarketEvaluate

evaluate(FlatNetwork, MLDataSet) - Static method in class org.encog.examples.neural.xor.XORDisplay

evaluate(NeuralMouse) - Method in class org.encog.examples.unfinished.maze.EvaluateMouse

EVALUATE_END - Static variable in class org.encog.examples.neural.cross.CrossValidateSunspot

EVALUATE_END - Static variable in class org.encog.examples.neural.predict.sunspot.PredictSunspot

EVALUATE_END - Static variable in class org.encog.examples.neural.predict.sunspot.PredictSunspotSVM

EVALUATE_START - Static variable in class org.encog.examples.neural.cross.CrossValidateSunspot

EVALUATE_START - Static variable in class org.encog.examples.neural.predict.sunspot.PredictSunspot

EVALUATE_START - Static variable in class org.encog.examples.neural.predict.sunspot.PredictSunspotSVM

EvaluateMouse - Class in org.encog.examples.unfinished.maze

EvaluateMouse(int) - Constructor for class org.encog.examples.unfinished.maze.EvaluateMouse

evaluateMPROP(BasicNetwork, MLDataSet) - Static method in class org.encog.examples.neural.benchmark.MultiBench

evaluateRandomizer(Randomizer, BasicNetwork, MLDataSet) - Static method in class org.encog.examples.neural.benchmark.WeightInitialization

evaluateRPROP(BasicNetwork, MLDataSet) - Static method in class org.encog.examples.neural.benchmark.MultiBench

execute(String) - Method in class org.encog.examples.neural.image.ImageNeuralNetwork

executeLine() - Method in class org.encog.examples.neural.image.ImageNeuralNetwork

F

FahlmanEncoder - Class in org.encog.examples.neural.benchmark

This example implements a Fahlman Encoder.

FahlmanEncoder() - Constructor for class org.encog.examples.neural.benchmark.FahlmanEncoder

FILENAME - Static variable in class org.encog.examples.neural.persist.EncogPersistence

FILENAME - Static variable in class org.encog.examples.neural.persist.Serial

FILENAME - Static variable in class org.encog.examples.neural.resume.TrainResume

findBounds(int, int) - Method in class org.encog.examples.neural.gui.ocr.Entry

This method is called to automatically crop the image so that whitespace is removed.

FIRST_CHAR - Static variable in class org.encog.examples.neural.bam.BidirectionalAssociativeMemory

flying() - Method in class org.encog.examples.neural.lunar.LanderSimulator

FOREST_SOURCE - Static variable in class org.encog.examples.neural.analyst.AnalystExample

ForestConfig - Class in org.encog.examples.neural.forest

ForestConfig(File) - Constructor for class org.encog.examples.neural.forest.ForestConfig

ForestCover - Class in org.encog.examples.neural.forest

To make use of this example program you must download the file "covtype.data".

ForestCover() - Constructor for class org.encog.examples.neural.forest.ForestCover

forestExample(File) - Method in class org.encog.examples.neural.analyst.AnalystExample

G

generate(int, double, double) - Static method in class org.encog.examples.neural.benchmark.ErrorMethod

generate(ForestConfig, boolean) - Static method in class org.encog.examples.neural.forest.ForestCover

generate(File) - Static method in class org.encog.examples.neural.predict.market.MarketBuildTraining

generate(int) - Method in class org.encog.examples.neural.util.TemporalXOR

GenerateData - Class in org.encog.examples.neural.forest

GenerateData(ForestConfig) - Constructor for class org.encog.examples.neural.forest.GenerateData

generateMaze() - Method in class org.encog.examples.unfinished.maze.Maze

generateMouse(Maze) - Static method in class org.encog.examples.unfinished.maze.MouseFactory

generateNetwork() - Static method in class org.encog.examples.neural.benchmark.MultiBench

generateRandomMatrix(int) - Static method in class org.encog.examples.neural.benchmark.MatrixBenchmark

generateSmartMouse() - Static method in class org.encog.examples.unfinished.maze.MouseFactory

generateTraining() - Static method in class org.encog.examples.neural.adaline.AdalineDigits

generateTraining(int, boolean) - Static method in class org.encog.examples.neural.benchmark.FahlmanEncoder

generateTraining() - Static method in class org.encog.examples.neural.benchmark.MultiBench

generateTraining(double[][], double[][]) - Method in class org.encog.examples.neural.cpn.RocketCPN

generateTraining() - Method in class org.encog.examples.neural.cross.CrossValidateSunspot

generateTraining() - Method in class org.encog.examples.neural.gui.predict.PredictSIN

generateTraining() - Method in class org.encog.examples.neural.predict.sunspot.PredictSunspot

generateTraining() - Method in class org.encog.examples.neural.predict.sunspot.PredictSunspotSVM

getAltitude() - Method in class org.encog.examples.neural.lunar.LanderSimulator

getArray() - Method in class org.encog.examples.nonlinear.tsp.anneal.TSPSimulatedAnnealing

getArrayCopy() - Method in class org.encog.examples.nonlinear.tsp.anneal.TSPSimulatedAnnealing

getBalanceFile() - Method in class org.encog.examples.neural.forest.ForestConfig

getBasePath() - Method in class org.encog.examples.neural.forest.ForestConfig

getBet() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Hand

getBinaryFile() - Method in class org.encog.examples.neural.forest.ForestConfig

getBrain() - Method in class org.encog.examples.unfinished.maze.NeuralMouse

getColumns() - Method in class org.encog.examples.unfinished.maze.Maze

getCoverTypeFile() - Method in class org.encog.examples.neural.forest.ForestConfig

getCurrentHand() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Participant

getData(int, int) - Method in class org.encog.examples.neural.gui.ocr.SampleData

Get a pixel from the sample.

getDealer() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Table

getEnvironment() - Method in class org.encog.examples.unfinished.maze.NeuralMouse

getError() - Method in class org.encog.examples.neural.gui.predict.GraphPanel

getEvaluateFile() - Method in class org.encog.examples.neural.forest.ForestConfig

getFuel() - Method in class org.encog.examples.neural.lunar.LanderSimulator

getHand() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Hand

getHandIndex() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Hand

getHands() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Participant

getHeight() - Method in class org.encog.examples.neural.gui.ocr.SampleData

Get the height of the down sampled image.

getHiddenCount() - Method in class org.encog.examples.neural.forest.ForestConfig

getLetter() - Method in class org.encog.examples.neural.gui.ocr.SampleData

Get the letter that this sample represents.

getMoney() - Method in class org.encog.examples.nonlinear.basicstrategy.Player

getMouseX() - Method in class org.encog.examples.unfinished.maze.MazePanel

getMouseY() - Method in class org.encog.examples.unfinished.maze.MazePanel

getNetwork() - Method in class org.encog.examples.neural.gui.predict.GraphPanel

getNetwork() - Method in class org.encog.examples.neural.gui.som.SomColors

getNextCard() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Table

getNormalizedDataFile() - Method in class org.encog.examples.neural.forest.ForestConfig

getNormalizeFile() - Method in class org.encog.examples.neural.forest.ForestConfig

getPlayers() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Table

getRandom(int) - Static method in class org.encog.examples.unfinished.maze.Maze

getRows() - Method in class org.encog.examples.unfinished.maze.Maze

getRules() - Method in class org.encog.examples.nonlinear.basicstrategy.Player

getSample() - Method in class org.encog.examples.neural.gui.ocr.Entry

Get the down sample component to be used with this component.

getSeconds() - Method in class org.encog.examples.neural.lunar.LanderSimulator

getShoe() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Table

getTrainedNetworkFile() - Method in class org.encog.examples.neural.forest.ForestConfig

getTrainingFile() - Method in class org.encog.examples.neural.forest.ForestConfig

getTrainingMinutes() - Method in class org.encog.examples.neural.forest.ForestConfig

getVelocity() - Method in class org.encog.examples.neural.lunar.LanderSimulator

getWidth() - Method in class org.encog.examples.neural.gui.ocr.SampleData

Get the width of the downsampled image.

getX() - Method in class org.encog.examples.unfinished.maze.NeuralMouse

getY() - Method in class org.encog.examples.unfinished.maze.NeuralMouse

giveCard(int) - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Hand

giveCard(int) - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Participant

giveMoney(double) - Method in class org.encog.examples.nonlinear.basicstrategy.Player

go() - Method in class org.encog.examples.neural.gui.hopfield.HopfieldPanel

Run the neural network.

grabData() - Static method in class org.encog.examples.neural.predict.market.MarketEvaluate

GraphPanel - Class in org.encog.examples.neural.gui.predict

GraphPanel() - Constructor for class org.encog.examples.neural.gui.predict.GraphPanel

GRAVITY - Static variable in class org.encog.examples.neural.lunar.LanderSimulator

grid - Variable in class org.encog.examples.neural.gui.ocr.SampleData

The downsampled data as a grid of booleans.

H

Hand - Class in org.encog.examples.nonlinear.basicstrategy.blackjack

Hand(double) - Constructor for class org.encog.examples.nonlinear.basicstrategy.blackjack.Hand

HARD_VALUE - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

hardValue(int) - Static method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

hasSoftValue(int) - Static method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

HEIGHT - Static variable in class org.encog.examples.neural.cpn.RocketCPN

HEIGHT - Static variable in class org.encog.examples.neural.gui.som.MapPanel

height - Variable in class org.encog.examples.unfinished.maze.MazePanel

HI - Static variable in class org.encog.examples.neural.cpn.RocketCPN

HI - Static variable in class org.encog.examples.unfinished.maze.Constants

HIDDEN1_COUNT - Static variable in class org.encog.examples.neural.predict.market.Config

HIDDEN2_COUNT - Static variable in class org.encog.examples.neural.predict.market.Config

HIDDEN_COUNT - Static variable in class org.encog.examples.neural.benchmark.AverageBenchmark

HIDDEN_COUNT - Static variable in class org.encog.examples.neural.benchmark.FahlmanEncoder

HIDDEN_COUNT - Static variable in class org.encog.examples.neural.benchmark.MultiBench

HIDDEN_COUNT - Static variable in class org.encog.examples.neural.benchmark.SimpleBenchmark

HIDDEN_COUNT - Static variable in class org.encog.examples.neural.benchmark.ThreadCount

hLineClear(int) - Method in class org.encog.examples.neural.gui.ocr.Entry

This method is called internally to see if there are any pixels in the given scan line.

hopfield - Variable in class org.encog.examples.neural.gui.hopfield.HopfieldPanel

HopfieldAssociate - Class in org.encog.examples.neural.hopfield

Simple class to recognize some patterns with a Hopfield Neural Network.

HopfieldAssociate() - Constructor for class org.encog.examples.neural.hopfield.HopfieldAssociate

HopfieldPanel - Class in org.encog.examples.neural.gui.hopfield

HopfieldPanel(int, int) - Constructor for class org.encog.examples.neural.gui.hopfield.HopfieldPanel

HopfieldPattern - Class in org.encog.examples.neural.gui.hopfield

This GUI application displays a grid that is used to train a Hopfield neural network.

HopfieldPattern() - Constructor for class org.encog.examples.neural.gui.hopfield.HopfieldPattern

I

IDEAL - Static variable in class org.encog.examples.neural.radial.MultiRadial

IDEAL_SIZE - Static variable in class org.encog.examples.neural.xorsql.XORSQL

identifyCard(int) - Static method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

identifySuit(int) - Static method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

identifyType(int) - Static method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

image2data(String[]) - Static method in class org.encog.examples.neural.adaline.AdalineDigits

ImageNeuralNetwork - Class in org.encog.examples.neural.image

Should have an input file similar to: CreateTraining: width:16,height:16,type:RGB Input: image:./coins/dime.png, identity:dime Input: image:./coins/dollar.png, identity:dollar Input: image:./coins/half.png, identity:half dollar Input: image:./coins/nickle.png, identity:nickle Input: image:./coins/penny.png, identity:penny Input: image:./coins/quarter.png, identity:quarter Network: hidden1:100, hidden2:0 Train: Mode:console, Minutes:1, StrategyError:0.25, StrategyCycles:50 Whatis: image:./coins/dime.png Whatis: image:./coins/half.png Whatis: image:./coins/testcoin.png

ImageNeuralNetwork() - Constructor for class org.encog.examples.neural.image.ImageNeuralNetwork

IN_CHARS - Static variable in class org.encog.examples.neural.bam.BidirectionalAssociativeMemory

incremental(File) - Static method in class org.encog.examples.neural.predict.market.MarketPrune

initImage() - Method in class org.encog.examples.neural.gui.ocr.Entry

Setup the internal image that the user draws onto.

INPUT - Static variable in class org.encog.examples.neural.radial.MultiRadial

INPUT_COUNT - Static variable in class org.encog.examples.neural.benchmark.AverageBenchmark

INPUT_COUNT - Static variable in class org.encog.examples.neural.benchmark.MultiBench

INPUT_COUNT - Static variable in class org.encog.examples.neural.benchmark.SimpleBenchmark

INPUT_COUNT - Static variable in class org.encog.examples.neural.benchmark.ThreadCount

INPUT_NEURON_COUNT - Static variable in class org.encog.examples.unfinished.maze.Constants

INPUT_NEURONS - Static variable in class org.encog.examples.neural.art.art1.NeuralART1

INPUT_NEURONS - Static variable in class org.encog.examples.neural.bam.BidirectionalAssociativeMemory

INPUT_OUTPUT_COUNT - Static variable in class org.encog.examples.neural.benchmark.FahlmanEncoder

INPUT_SIZE - Static variable in class org.encog.examples.neural.xorsql.XORSQL

INPUT_WINDOW - Static variable in class org.encog.examples.neural.gui.predict.PredictSIN

INPUT_WINDOW - Static variable in class org.encog.examples.neural.predict.market.Config

inTact(int, int) - Method in class org.encog.examples.unfinished.maze.Maze

IRIS_SOURCE - Static variable in class org.encog.examples.neural.analyst.AnalystExample

irisExample(File) - Method in class org.encog.examples.neural.analyst.AnalystExample

isBlackJack() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Hand

isBorder(int, int, int) - Method in class org.encog.examples.unfinished.maze.Maze

isDone() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Hand

isHardTotal() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Hand

isPair() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Hand

isValidTour(BiPolarNeuralData) - Method in class org.encog.examples.neural.boltzmann.BoltzTSP

isWall(int, int, int) - Method in class org.encog.examples.unfinished.maze.Maze

ITERATIONS - Static variable in class org.encog.examples.neural.benchmark.AverageBenchmark

ITERATIONS - Static variable in class org.encog.examples.neural.benchmark.SimpleBenchmark

ITERATIONS - Static variable in class org.encog.examples.neural.benchmark.WeightInitialization

ITERATIONS - Static variable in class org.encog.examples.neural.xor.XORDisplay

J

JordanXOR - Class in org.encog.examples.neural.recurrent.jordan

Implement an Jordan style neural network with Encog.

JordanXOR() - Constructor for class org.encog.examples.neural.recurrent.jordan.JordanXOR

K

keepScore(int, int) - Method in class org.encog.examples.neural.forest.Evaluate

L

LanderSimulator - Class in org.encog.examples.neural.lunar

LanderSimulator() - Constructor for class org.encog.examples.neural.lunar.LanderSimulator

lastX - Variable in class org.encog.examples.neural.gui.ocr.Entry

The last x that the user was drawing at.

lastY - Variable in class org.encog.examples.neural.gui.ocr.Entry

The last y that the user was drawing at.

lengthOfTour(BiPolarNeuralData) - Method in class org.encog.examples.neural.boltzmann.BoltzTSP

letter - Variable in class org.encog.examples.neural.gui.ocr.SampleData

The letter.

LO - Static variable in class org.encog.examples.neural.cpn.RocketCPN

LO - Static variable in class org.encog.examples.unfinished.maze.Constants

loadAndEvaluate() - Method in class org.encog.examples.neural.persist.EncogPersistence

loadAndEvaluate() - Method in class org.encog.examples.neural.persist.Serial

loadNetwork() - Method in class org.encog.examples.neural.forest.Evaluate

loadNormalization() - Method in class org.encog.examples.neural.forest.Evaluate

LunarLander - Class in org.encog.examples.neural.lunar

A lunar lander game where the neural network learns to land a space craft.

LunarLander() - Constructor for class org.encog.examples.neural.lunar.LunarLander

M

main(String[]) - Static method in class org.encog.examples.clustering.kmeans.SimpleKMeans

The main method.

main(String[]) - Static method in class org.encog.examples.neural.adaline.AdalineDigits

main(String[]) - Static method in class org.encog.examples.neural.analyst.AnalystExample

main(String[]) - Static method in class org.encog.examples.neural.art.art1.NeuralART1

main(String[]) - Static method in class org.encog.examples.neural.bam.BidirectionalAssociativeMemory

main(String[]) - Static method in class org.encog.examples.neural.benchmark.AverageBenchmark

main(String[]) - Static method in class org.encog.examples.neural.benchmark.Benchmark

main(String[]) - Static method in class org.encog.examples.neural.benchmark.BinaryVsMemory

main(String[]) - Static method in class org.encog.examples.neural.benchmark.ErrorMethod

main(String[]) - Static method in class org.encog.examples.neural.benchmark.FahlmanEncoder

main(String[]) - Static method in class org.encog.examples.neural.benchmark.MatrixBenchmark

main(String[]) - Static method in class org.encog.examples.neural.benchmark.MultiBench

main(String[]) - Static method in class org.encog.examples.neural.benchmark.SimpleBenchmark

main(String[]) - Static method in class org.encog.examples.neural.benchmark.TestConverge

The main method.

main(String[]) - Static method in class org.encog.examples.neural.benchmark.ThreadCount

main(String[]) - Static method in class org.encog.examples.neural.benchmark.WeightInitialization

main(String[]) - Static method in class org.encog.examples.neural.boltzmann.BoltzTSP

main(String[]) - Static method in class org.encog.examples.neural.cpn.RocketCPN

main(String[]) - Static method in class org.encog.examples.neural.cross.CrossValidateSunspot

main(String[]) - Static method in class org.encog.examples.neural.csv.XORCSV

main(String[]) - Static method in class org.encog.examples.neural.forest.ForestCover

main(String[]) - Static method in class org.encog.examples.neural.gui.hopfield.HopfieldPattern

main(String[]) - Static method in class org.encog.examples.neural.gui.ocr.OCR

The main method.

main(String[]) - Static method in class org.encog.examples.neural.gui.predict.PredictSIN

main(String[]) - Static method in class org.encog.examples.neural.gui.som.SomColors

main(String[]) - Static method in class org.encog.examples.neural.hopfield.HopfieldAssociate

main(String[]) - Static method in class org.encog.examples.neural.image.ImageNeuralNetwork

main(String[]) - Static method in class org.encog.examples.neural.lunar.LunarLander

main(String[]) - Static method in class org.encog.examples.neural.normalize.NormalizeFile

main(String[]) - Static method in class org.encog.examples.neural.normalize.SimpleNormalize

main(String[]) - Static method in class org.encog.examples.neural.persist.EncogPersistence

main(String[]) - Static method in class org.encog.examples.neural.persist.Serial

main(String[]) - Static method in class org.encog.examples.neural.predict.market.MarketPredict

main(String[]) - Static method in class org.encog.examples.neural.predict.sunspot.PredictSunspot

main(String[]) - Static method in class org.encog.examples.neural.predict.sunspot.PredictSunspotSVM

main(String[]) - Static method in class org.encog.examples.neural.radial.MultiRadial

main(String[]) - Static method in class org.encog.examples.neural.recurrent.elman.ElmanXOR

main(String[]) - Static method in class org.encog.examples.neural.recurrent.jordan.JordanXOR

main(String[]) - Static method in class org.encog.examples.neural.resume.TrainResume

main(String[]) - Static method in class org.encog.examples.neural.som.SimpleSOM

main(String[]) - Static method in class org.encog.examples.neural.xor.XORConst

The main method.

main(String[]) - Static method in class org.encog.examples.neural.xor.XORDisplay

main(String[]) - Static method in class org.encog.examples.neural.xor.XORFactory

main(String[]) - Static method in class org.encog.examples.neural.xor.XORFlat

main(String[]) - Static method in class org.encog.examples.neural.xor.XORHelloWorld

The main method.

main(String[]) - Static method in class org.encog.examples.neural.xor.XORNEAT

main(String[]) - Static method in class org.encog.examples.neural.xorpartial.XORPartial

main(String[]) - Static method in class org.encog.examples.neural.xorpartial.XORPartialAuto

main(String[]) - Static method in class org.encog.examples.neural.xorsql.XORSQL

main(String[]) - Static method in class org.encog.examples.nonlinear.basicstrategy.Play21

main(String[]) - Static method in class org.encog.examples.nonlinear.tsp.anneal.SolveTSP

Program entry point.

main(String[]) - Static method in class org.encog.examples.nonlinear.tsp.genetic.SolveTSP

Program entry point.

main(String[]) - Static method in class org.encog.examples.unfinished.maze.EvaluateMouse

main(String[]) - Static method in class org.encog.examples.unfinished.maze.MouseMaze

MAP_SIZE - Static variable in class org.encog.examples.nonlinear.tsp.anneal.SolveTSP

MAP_SIZE - Static variable in class org.encog.examples.nonlinear.tsp.genetic.SolveTSP

MapPanel - Class in org.encog.examples.neural.gui.som

MapPanel(SomColors) - Constructor for class org.encog.examples.neural.gui.som.MapPanel

mappingToString(NeuralDataMapping) - Method in class org.encog.examples.neural.bam.BidirectionalAssociativeMemory

MarketBuildTraining - Class in org.encog.examples.neural.predict.market

Build the training data for the prediction and store it in an Encog file for later training.

MarketBuildTraining() - Constructor for class org.encog.examples.neural.predict.market.MarketBuildTraining

MarketEvaluate - Class in org.encog.examples.neural.predict.market

MarketEvaluate() - Constructor for class org.encog.examples.neural.predict.market.MarketEvaluate

MarketPredict - Class in org.encog.examples.neural.predict.market

Use the saved market neural network, and now attempt to predict for today, and the last 60 days and see what the results are.

MarketPredict() - Constructor for class org.encog.examples.neural.predict.market.MarketPredict

MarketPrune - Class in org.encog.examples.neural.predict.market

MarketPrune() - Constructor for class org.encog.examples.neural.predict.market.MarketPrune

MarketTrain - Class in org.encog.examples.neural.predict.market

Load the training data from an Encog file, produced during the "build training step", and attempt to train.

MarketTrain() - Constructor for class org.encog.examples.neural.predict.market.MarketTrain

markStopped() - Method in class org.encog.examples.neural.gui.ocr.OCR

MATING_POPULATION_PERCENT - Static variable in class org.encog.examples.nonlinear.basicstrategy.Play21

MATING_POPULATION_PERCENT - Static variable in class org.encog.examples.nonlinear.tsp.genetic.SolveTSP

MatrixBenchmark - Class in org.encog.examples.neural.benchmark

MatrixBenchmark() - Constructor for class org.encog.examples.neural.benchmark.MatrixBenchmark

MAX_ERROR - Static variable in class org.encog.examples.neural.cross.CrossValidateSunspot

This really should be lowered, I am setting it to a level here that will train in under a minute.

MAX_ERROR - Static variable in class org.encog.examples.neural.predict.sunspot.PredictSunspot

This really should be lowered, I am setting it to a level here that will train in under a minute.

MAX_ERROR - Static variable in class org.encog.examples.neural.predict.sunspot.PredictSunspotSVM

This really should be lowered, I am setting it to a level here that will train in under a minute.

MAX_SAME_SOLUTION - Static variable in class org.encog.examples.nonlinear.tsp.anneal.SolveTSP

MAX_SAME_SOLUTION - Static variable in class org.encog.examples.nonlinear.tsp.genetic.SolveTSP

Maze - Class in org.encog.examples.unfinished.maze

Maze(int, int) - Constructor for class org.encog.examples.unfinished.maze.Maze

MazeCell - Class in org.encog.examples.unfinished.maze

Used internally by the maze generator.

MazeCell(int, int) - Constructor for class org.encog.examples.unfinished.maze.MazeCell

MazePanel - Class in org.encog.examples.unfinished.maze

MazePanel(Maze) - Constructor for class org.encog.examples.unfinished.maze.MazePanel

METHOD_BIASLESS_A - Static variable in class org.encog.examples.neural.xor.XORFactory

METHOD_FEEDFORWARD_A - Static variable in class org.encog.examples.neural.xor.XORFactory

METHOD_PNNC_A - Static variable in class org.encog.examples.neural.xor.XORFactory

METHOD_PNNR_A - Static variable in class org.encog.examples.neural.xor.XORFactory

METHOD_RBF_A - Static variable in class org.encog.examples.neural.xor.XORFactory

METHOD_SVMC_A - Static variable in class org.encog.examples.neural.xor.XORFactory

METHOD_SVMR_A - Static variable in class org.encog.examples.neural.xor.XORFactory

MOTOR_EAST - Static variable in class org.encog.examples.unfinished.maze.Constants

MOTOR_NORTH - Static variable in class org.encog.examples.unfinished.maze.Constants

MOTOR_SOUTH - Static variable in class org.encog.examples.unfinished.maze.Constants

MOTOR_WEST - Static variable in class org.encog.examples.unfinished.maze.Constants

mouseClicked(MouseEvent) - Method in class org.encog.examples.neural.gui.hopfield.HopfieldPanel

mouseEntered(MouseEvent) - Method in class org.encog.examples.neural.gui.hopfield.HopfieldPanel

mouseExited(MouseEvent) - Method in class org.encog.examples.neural.gui.hopfield.HopfieldPanel

MouseFactory - Class in org.encog.examples.unfinished.maze

MouseFactory() - Constructor for class org.encog.examples.unfinished.maze.MouseFactory

MouseMaze - Class in org.encog.examples.unfinished.maze

MouseMaze() - Constructor for class org.encog.examples.unfinished.maze.MouseMaze

MouseMaze.State - Enum in org.encog.examples.unfinished.maze

mousePressed(MouseEvent) - Method in class org.encog.examples.neural.gui.hopfield.HopfieldPanel

mouseReleased(MouseEvent) - Method in class org.encog.examples.neural.gui.hopfield.HopfieldPanel

mouseX - Variable in class org.encog.examples.unfinished.maze.MazePanel

mouseY - Variable in class org.encog.examples.unfinished.maze.MazePanel

move(int) - Method in class org.encog.examples.unfinished.maze.NeuralMouse

move() - Method in class org.encog.examples.unfinished.maze.NeuralMouse

MultiBench - Class in org.encog.examples.neural.benchmark

MultiBench() - Constructor for class org.encog.examples.neural.benchmark.MultiBench

MultiRadial - Class in org.encog.examples.neural.radial

MultiRadial() - Constructor for class org.encog.examples.neural.radial.MultiRadial

MUTATION_PERCENT - Static variable in class org.encog.examples.nonlinear.basicstrategy.Play21

MUTATION_PERCENT - Static variable in class org.encog.examples.nonlinear.tsp.genetic.SolveTSP

N

NAMES - Static variable in class org.encog.examples.neural.bam.BidirectionalAssociativeMemory

NAMES2 - Static variable in class org.encog.examples.neural.bam.BidirectionalAssociativeMemory

narrow(File, File, int, int) - Method in class org.encog.examples.neural.forest.GenerateData

NETWORK_FILE - Static variable in class org.encog.examples.neural.predict.market.Config

NeuralART1 - Class in org.encog.examples.neural.art.art1

This example presents a series of 5-value images to an ART1 network.

NeuralART1() - Constructor for class org.encog.examples.neural.art.art1.NeuralART1

NeuralMouse - Class in org.encog.examples.unfinished.maze

NeuralMouse(BasicNetwork, Maze) - Constructor for class org.encog.examples.unfinished.maze.NeuralMouse

NeuralPilot - Class in org.encog.examples.neural.lunar

NeuralPilot(BasicNetwork, boolean) - Constructor for class org.encog.examples.neural.lunar.NeuralPilot

NEURON_COUNT - Static variable in class org.encog.examples.neural.boltzmann.BoltzTSP

nextCard() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

NormalizeFile - Class in org.encog.examples.neural.normalize

This is a simple example that will normalize a CSV file.

NormalizeFile() - Constructor for class org.encog.examples.neural.normalize.NormalizeFile

normalizeSunspots(double, double) - Method in class org.encog.examples.neural.cross.CrossValidateSunspot

normalizeSunspots(double, double) - Method in class org.encog.examples.neural.predict.sunspot.PredictSunspot

normalizeSunspots(double, double) - Method in class org.encog.examples.neural.predict.sunspot.PredictSunspotSVM

NORTH - Static variable in class org.encog.examples.unfinished.maze.Maze

NUM_CITIES - Static variable in class org.encog.examples.neural.boltzmann.BoltzTSP

O

obtainActual(int) - Static method in class org.encog.examples.neural.gui.predict.GraphPanel

obtainPrediction(int) - Method in class org.encog.examples.neural.gui.predict.GraphPanel

OCR - Class in org.encog.examples.neural.gui.ocr

OCR: Main form that allows the user to interact with the OCR application.

OCR.UpdateStats - Class in org.encog.examples.neural.gui.ocr

OCR.UpdateStats() - Constructor for class org.encog.examples.neural.gui.ocr.OCR.UpdateStats

org.encog.examples.clustering.kmeans - package org.encog.examples.clustering.kmeans

org.encog.examples.neural.adaline - package org.encog.examples.neural.adaline

org.encog.examples.neural.analyst - package org.encog.examples.neural.analyst

org.encog.examples.neural.art.art1 - package org.encog.examples.neural.art.art1

org.encog.examples.neural.bam - package org.encog.examples.neural.bam

org.encog.examples.neural.benchmark - package org.encog.examples.neural.benchmark

org.encog.examples.neural.boltzmann - package org.encog.examples.neural.boltzmann

org.encog.examples.neural.cpn - package org.encog.examples.neural.cpn

org.encog.examples.neural.cross - package org.encog.examples.neural.cross

org.encog.examples.neural.csv - package org.encog.examples.neural.csv

org.encog.examples.neural.forest - package org.encog.examples.neural.forest

org.encog.examples.neural.gui.hopfield - package org.encog.examples.neural.gui.hopfield

org.encog.examples.neural.gui.ocr - package org.encog.examples.neural.gui.ocr

org.encog.examples.neural.gui.predict - package org.encog.examples.neural.gui.predict

org.encog.examples.neural.gui.som - package org.encog.examples.neural.gui.som

org.encog.examples.neural.hopfield - package org.encog.examples.neural.hopfield

org.encog.examples.neural.image - package org.encog.examples.neural.image

org.encog.examples.neural.lunar - package org.encog.examples.neural.lunar

org.encog.examples.neural.normalize - package org.encog.examples.neural.normalize

org.encog.examples.neural.persist - package org.encog.examples.neural.persist

org.encog.examples.neural.predict.market - package org.encog.examples.neural.predict.market

org.encog.examples.neural.predict.sunspot - package org.encog.examples.neural.predict.sunspot

org.encog.examples.neural.radial - package org.encog.examples.neural.radial

org.encog.examples.neural.recurrent.elman - package org.encog.examples.neural.recurrent.elman

org.encog.examples.neural.recurrent.jordan - package org.encog.examples.neural.recurrent.jordan

org.encog.examples.neural.resume - package org.encog.examples.neural.resume

org.encog.examples.neural.som - package org.encog.examples.neural.som

org.encog.examples.neural.util - package org.encog.examples.neural.util

org.encog.examples.neural.xor - package org.encog.examples.neural.xor

org.encog.examples.neural.xorpartial - package org.encog.examples.neural.xorpartial

org.encog.examples.neural.xorsql - package org.encog.examples.neural.xorsql

org.encog.examples.nonlinear.basicstrategy - package org.encog.examples.nonlinear.basicstrategy

org.encog.examples.nonlinear.basicstrategy.blackjack - package org.encog.examples.nonlinear.basicstrategy.blackjack

org.encog.examples.nonlinear.tsp - package org.encog.examples.nonlinear.tsp

org.encog.examples.nonlinear.tsp.anneal - package org.encog.examples.nonlinear.tsp.anneal

org.encog.examples.nonlinear.tsp.genetic - package org.encog.examples.nonlinear.tsp.genetic

org.encog.examples.unfinished.maze - package org.encog.examples.unfinished.maze

OUT_CHARS - Static variable in class org.encog.examples.neural.bam.BidirectionalAssociativeMemory

OUTPUT_COUNT - Static variable in class org.encog.examples.neural.benchmark.AverageBenchmark

OUTPUT_COUNT - Static variable in class org.encog.examples.neural.benchmark.MultiBench

OUTPUT_COUNT - Static variable in class org.encog.examples.neural.benchmark.SimpleBenchmark

OUTPUT_COUNT - Static variable in class org.encog.examples.neural.benchmark.ThreadCount

OUTPUT_NEURON_COUNT - Static variable in class org.encog.examples.unfinished.maze.Constants

OUTPUT_NEURONS - Static variable in class org.encog.examples.neural.art.art1.NeuralART1

OUTPUT_NEURONS - Static variable in class org.encog.examples.neural.bam.BidirectionalAssociativeMemory

P

paint(Graphics) - Method in class org.encog.examples.neural.gui.hopfield.HopfieldPanel

paint(Graphics) - Method in class org.encog.examples.neural.gui.ocr.Entry

Paint the drawn image and cropping box (if active).

paint(Graphics) - Method in class org.encog.examples.neural.gui.ocr.Sample

paint(Graphics) - Method in class org.encog.examples.neural.gui.predict.GraphPanel

paint(Graphics) - Method in class org.encog.examples.neural.gui.som.MapPanel

paint(Graphics) - Method in class org.encog.examples.unfinished.maze.MazePanel

Participant - Class in org.encog.examples.nonlinear.basicstrategy.blackjack

Participant() - Constructor for class org.encog.examples.nonlinear.basicstrategy.blackjack.Participant

path - Variable in class org.encog.examples.nonlinear.tsp.anneal.TSPSimulatedAnnealing

PATTERN - Static variable in class org.encog.examples.neural.art.art1.NeuralART1

PATTERN - Static variable in class org.encog.examples.neural.hopfield.HopfieldAssociate

The neural network will learn these patterns.

PATTERN1 - Static variable in class org.encog.examples.neural.cpn.RocketCPN

PATTERN2 - Static variable in class org.encog.examples.neural.hopfield.HopfieldAssociate

The neural network will be tested on these patterns, to see which of the last set they are the closest to.

PERCENT_TO_MATE - Static variable in class org.encog.examples.nonlinear.basicstrategy.Play21

PERCENT_TO_MATE - Static variable in class org.encog.examples.nonlinear.tsp.genetic.SolveTSP

perform(int) - Static method in class org.encog.examples.neural.benchmark.ThreadCount

performTraining() - Method in class org.encog.examples.neural.gui.predict.PredictSIN

PHONES - Static variable in class org.encog.examples.neural.bam.BidirectionalAssociativeMemory

PilotScore - Class in org.encog.examples.neural.lunar

PilotScore() - Constructor for class org.encog.examples.neural.lunar.PilotScore

pixelMap - Variable in class org.encog.examples.neural.gui.ocr.Entry

The pixel map of what the user has drawn.

play(Table) - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Dealer

play(Table) - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Participant

play() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Table

play(Table) - Method in class org.encog.examples.nonlinear.basicstrategy.Player

Play21 - Class in org.encog.examples.nonlinear.basicstrategy

Play21() - Constructor for class org.encog.examples.nonlinear.basicstrategy.Play21

Player - Class in org.encog.examples.nonlinear.basicstrategy

Player(double) - Constructor for class org.encog.examples.nonlinear.basicstrategy.Player

PlayerGenome - Class in org.encog.examples.nonlinear.basicstrategy

PlayerGenome(GeneticAlgorithm, Player) - Constructor for class org.encog.examples.nonlinear.basicstrategy.PlayerGenome

playHand(Participant, Hand) - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Table

playPlayer(Participant) - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Table

POPULATION_SIZE - Static variable in class org.encog.examples.nonlinear.basicstrategy.Play21

POPULATION_SIZE - Static variable in class org.encog.examples.nonlinear.tsp.genetic.SolveTSP

predict(BasicNetwork) - Method in class org.encog.examples.neural.cross.CrossValidateSunspot

predict(BasicNetwork) - Method in class org.encog.examples.neural.predict.sunspot.PredictSunspot

predict(SVM) - Method in class org.encog.examples.neural.predict.sunspot.PredictSunspotSVM

PREDICT_WINDOW - Static variable in class org.encog.examples.neural.gui.predict.PredictSIN

PREDICT_WINDOW - Static variable in class org.encog.examples.neural.predict.market.Config

PredictSIN - Class in org.encog.examples.neural.gui.predict

Really simple GUI application that is used to predict the SIN wave.

PredictSIN() - Constructor for class org.encog.examples.neural.gui.predict.PredictSIN

PredictSunspot - Class in org.encog.examples.neural.predict.sunspot

PredictSunspot() - Constructor for class org.encog.examples.neural.predict.sunspot.PredictSunspot

PredictSunspotSVM - Class in org.encog.examples.neural.predict.sunspot

This example predicts sunspots using a support vector machine.

PredictSunspotSVM() - Constructor for class org.encog.examples.neural.predict.sunspot.PredictSunspotSVM

prepareInput() - Method in class org.encog.examples.neural.cpn.RocketCPN

process(String, String, String, String, int) - Method in class org.encog.examples.neural.xor.XORFactory

processMouseEvent(MouseEvent) - Method in class org.encog.examples.neural.gui.ocr.Entry

Process messages.

processMouseMotionEvent(MouseEvent) - Method in class org.encog.examples.neural.gui.ocr.Entry

Process messages.

processWhatIs() - Method in class org.encog.examples.neural.image.ImageNeuralNetwork

proximity(City) - Method in class org.encog.examples.nonlinear.tsp.City

Returns how close the city is to another city.

putArray(Integer[]) - Method in class org.encog.examples.nonlinear.tsp.anneal.TSPSimulatedAnnealing

R

randomBiPolar(int) - Method in class org.encog.examples.neural.bam.BidirectionalAssociativeMemory

randomize() - Method in class org.encog.examples.nonlinear.basicstrategy.Player

randomize() - Method in class org.encog.examples.nonlinear.tsp.anneal.TSPSimulatedAnnealing

ratioX - Variable in class org.encog.examples.neural.gui.ocr.Entry

The downsample ratio for x.

ratioY - Variable in class org.encog.examples.neural.gui.ocr.Entry

The downsample ratio for y

refresh() - Method in class org.encog.examples.neural.gui.predict.GraphPanel

remainingPercent() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

render(Graphics) - Method in class org.encog.examples.unfinished.maze.MazePanel

report(int, int, String) - Method in class org.encog.examples.neural.forest.GenerateData

reset(double) - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Participant

reset(double) - Method in class org.encog.examples.nonlinear.basicstrategy.Player

resetAll() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Table

RocketCPN - Class in org.encog.examples.neural.cpn

Use a counterpropagation network to determine the angle a rocket is pointed.

RocketCPN() - Constructor for class org.encog.examples.neural.cpn.RocketCPN

ROW_COUNT - Static variable in class org.encog.examples.neural.benchmark.AverageBenchmark

ROW_COUNT - Static variable in class org.encog.examples.neural.benchmark.SimpleBenchmark

rows - Variable in class org.encog.examples.unfinished.maze.Maze

rowWalls - Variable in class org.encog.examples.unfinished.maze.Maze

run() - Method in class org.encog.examples.neural.art.art1.NeuralART1

run() - Method in class org.encog.examples.neural.bam.BidirectionalAssociativeMemory

run() - Method in class org.encog.examples.neural.benchmark.Benchmark

run() - Method in class org.encog.examples.neural.boltzmann.BoltzTSP

run() - Method in class org.encog.examples.neural.cpn.RocketCPN

run() - Method in class org.encog.examples.neural.cross.CrossValidateSunspot

run() - Method in class org.encog.examples.neural.gui.ocr.OCR

Run method for the background training thread.

run() - Method in class org.encog.examples.neural.gui.ocr.OCR.UpdateStats

run() - Method in class org.encog.examples.neural.gui.som.SomColors

run() - Method in class org.encog.examples.neural.hopfield.HopfieldAssociate

run() - Method in class org.encog.examples.neural.predict.sunspot.PredictSunspot

run() - Method in class org.encog.examples.neural.predict.sunspot.PredictSunspotSVM

run(String) - Method in class org.encog.examples.neural.xor.XORFactory

Run the program in the specific mode.

run() - Method in class org.encog.examples.unfinished.maze.MouseMaze

runBAM(BAM, NeuralDataMapping) - Method in class org.encog.examples.neural.bam.BidirectionalAssociativeMemory

S

sample - Variable in class org.encog.examples.neural.gui.ocr.Entry

The down sample component used with this component.

Sample - Class in org.encog.examples.neural.gui.ocr

Sample: GUI element that displays sampled data.

SAMPLE_SIZE - Static variable in class org.encog.examples.neural.benchmark.WeightInitialization

SampleData - Class in org.encog.examples.neural.gui.ocr

SampleData: Holds sampled data that will be used to train the neural network.

SampleData(char, int, int) - Constructor for class org.encog.examples.neural.gui.ocr.SampleData

The constructor

score() - Method in class org.encog.examples.neural.lunar.LanderSimulator

scorePilot() - Method in class org.encog.examples.neural.lunar.NeuralPilot

ScorePlayer - Class in org.encog.examples.nonlinear.basicstrategy

ScorePlayer() - Constructor for class org.encog.examples.nonlinear.basicstrategy.ScorePlayer

SEQUENCE - Static variable in class org.encog.examples.neural.util.TemporalXOR

1 xor 0 = 1, 0 xor 0 = 0, 0 xor 1 = 1, 1 xor 1 = 0

Serial - Class in org.encog.examples.neural.persist

This example shows how to use Java serialization to store a neural network.

Serial() - Constructor for class org.encog.examples.neural.persist.Serial

setBalanceFile(File) - Method in class org.encog.examples.neural.forest.ForestConfig

setBasePath(File) - Method in class org.encog.examples.neural.forest.ForestConfig

setBet(double) - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Hand

setBinaryFile(File) - Method in class org.encog.examples.neural.forest.ForestConfig

setBrain(BasicNetwork) - Method in class org.encog.examples.unfinished.maze.NeuralMouse

setCoverTypeFile(File) - Method in class org.encog.examples.neural.forest.ForestConfig

setData(int, int, boolean) - Method in class org.encog.examples.neural.gui.ocr.SampleData

Set one pixel of sample data.

setDone(boolean) - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Hand

setEnvironment(Maze) - Method in class org.encog.examples.unfinished.maze.NeuralMouse

setError(double) - Method in class org.encog.examples.neural.gui.predict.GraphPanel

setEvaluateFile(File) - Method in class org.encog.examples.neural.forest.ForestConfig

setHandIndex(int) - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Hand

setHiddenCount(int) - Method in class org.encog.examples.neural.forest.ForestConfig

setLetter(char) - Method in class org.encog.examples.neural.gui.ocr.SampleData

Set the letter that this sample represents.

setMoney(double) - Method in class org.encog.examples.nonlinear.basicstrategy.Player

setMouseX(int) - Method in class org.encog.examples.unfinished.maze.MazePanel

setMouseY(int) - Method in class org.encog.examples.unfinished.maze.MazePanel

setNetwork(BasicNetwork) - Method in class org.encog.examples.neural.gui.predict.GraphPanel

setNormalizedDataFile(File) - Method in class org.encog.examples.neural.forest.ForestConfig

setNormalizeFile(File) - Method in class org.encog.examples.neural.forest.ForestConfig

setSample(Sample) - Method in class org.encog.examples.neural.gui.ocr.Entry

Set the sample control to use.

setTrainedNetworkFile(File) - Method in class org.encog.examples.neural.forest.ForestConfig

setTrainingFile(File) - Method in class org.encog.examples.neural.forest.ForestConfig

setTrainingMinutes(int) - Method in class org.encog.examples.neural.forest.ForestConfig

setupInput() - Method in class org.encog.examples.neural.art.art1.NeuralART1

setWall(int, int, int, boolean) - Method in class org.encog.examples.unfinished.maze.Maze

setX(int) - Method in class org.encog.examples.unfinished.maze.NeuralMouse

setY(int) - Method in class org.encog.examples.unfinished.maze.NeuralMouse

Shoe - Class in org.encog.examples.nonlinear.basicstrategy.blackjack

Shoe(int) - Constructor for class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

shouldMinimize() - Method in class org.encog.examples.neural.lunar.PilotScore

shouldMinimize() - Method in class org.encog.examples.nonlinear.basicstrategy.ScorePlayer

shouldMinimize() - Method in class org.encog.examples.nonlinear.tsp.genetic.TSPScore

shuffle() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

SimpleBenchmark - Class in org.encog.examples.neural.benchmark

SimpleBenchmark() - Constructor for class org.encog.examples.neural.benchmark.SimpleBenchmark

SimpleKMeans - Class in org.encog.examples.clustering.kmeans

This example performs a simple KMeans cluster.

SimpleKMeans() - Constructor for class org.encog.examples.clustering.kmeans.SimpleKMeans

SimpleNormalize - Class in org.encog.examples.neural.normalize

SimpleNormalize() - Constructor for class org.encog.examples.neural.normalize.SimpleNormalize

SimpleSOM - Class in org.encog.examples.neural.som

Implement a simple SOM using Encog.

SimpleSOM() - Constructor for class org.encog.examples.neural.som.SimpleSOM

SOFT_VALUE - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

softValue(int) - Static method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

solve() - Method in class org.encog.examples.nonlinear.tsp.anneal.SolveTSP

Setup and solve the TSP.

solve() - Method in class org.encog.examples.nonlinear.tsp.genetic.SolveTSP

Setup and solve the TSP.

SolveTSP - Class in org.encog.examples.nonlinear.tsp.anneal

SolveTSP with Simulated Annealing.

SolveTSP() - Constructor for class org.encog.examples.nonlinear.tsp.anneal.SolveTSP

SolveTSP - Class in org.encog.examples.nonlinear.tsp.genetic

SolveTSP with a genetic algorithm.

SolveTSP() - Constructor for class org.encog.examples.nonlinear.tsp.genetic.SolveTSP

SOM_INPUT - Static variable in class org.encog.examples.neural.som.SimpleSOM

SomColors - Class in org.encog.examples.neural.gui.som

A classic SOM example that shows how the SOM groups similar color shades.

SomColors() - Constructor for class org.encog.examples.neural.gui.som.SomColors

SOUTH - Static variable in class org.encog.examples.unfinished.maze.Maze

SQL - Static variable in class org.encog.examples.neural.xorsql.XORSQL

SQL_DRIVER - Static variable in class org.encog.examples.neural.xorsql.XORSQL

SQL_PWD - Static variable in class org.encog.examples.neural.xorsql.XORSQL

SQL_UID - Static variable in class org.encog.examples.neural.xorsql.XORSQL

SQL_URL - Static variable in class org.encog.examples.neural.xorsql.XORSQL

sqr(double) - Method in class org.encog.examples.neural.boltzmann.BoltzTSP

sqr(double) - Method in class org.encog.examples.neural.cpn.RocketCPN

START_TEMP - Static variable in class org.encog.examples.nonlinear.tsp.anneal.SolveTSP

STARTING_YEAR - Static variable in class org.encog.examples.neural.cross.CrossValidateSunspot

STARTING_YEAR - Static variable in class org.encog.examples.neural.predict.sunspot.PredictSunspot

STARTING_YEAR - Static variable in class org.encog.examples.neural.predict.sunspot.PredictSunspotSVM

step1() - Method in class org.encog.examples.neural.forest.GenerateData

step2() - Method in class org.encog.examples.neural.forest.GenerateData

step3(boolean) - Method in class org.encog.examples.neural.forest.GenerateData

STOP_TEMP - Static variable in class org.encog.examples.nonlinear.tsp.anneal.SolveTSP

stringToBipolar(String) - Method in class org.encog.examples.neural.bam.BidirectionalAssociativeMemory

SUIT_CLUBS - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

SUIT_DIAMONDS - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

SUIT_HEARTS - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

SUIT_SPADES - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

SUITS - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

SUNSPOTS - Static variable in class org.encog.examples.neural.cross.CrossValidateSunspot

SUNSPOTS - Static variable in class org.encog.examples.neural.predict.sunspot.PredictSunspot

SUNSPOTS - Static variable in class org.encog.examples.neural.predict.sunspot.PredictSunspotSVM

T

Table - Class in org.encog.examples.nonlinear.basicstrategy.blackjack

Table(int, Dealer) - Constructor for class org.encog.examples.nonlinear.basicstrategy.blackjack.Table

takeMoney(double) - Method in class org.encog.examples.nonlinear.basicstrategy.Player

telemetry() - Method in class org.encog.examples.neural.lunar.LanderSimulator

TemporalXOR - Class in org.encog.examples.neural.util

Utility class that presents the XOR operator as a serial stream of values.

TemporalXOR() - Constructor for class org.encog.examples.neural.util.TemporalXOR

TERMINAL_VELOCITY - Static variable in class org.encog.examples.neural.lunar.LanderSimulator

test(CPN, String[][], double[][]) - Method in class org.encog.examples.neural.cpn.RocketCPN

test() - Static method in class org.encog.examples.nonlinear.basicstrategy.Play21

TestConverge - Class in org.encog.examples.neural.benchmark

TestConverge() - Constructor for class org.encog.examples.neural.benchmark.TestConverge

ThreadCount - Class in org.encog.examples.neural.benchmark

ThreadCount() - Constructor for class org.encog.examples.neural.benchmark.ThreadCount

threadRun() - Method in class org.encog.examples.unfinished.maze.MouseMaze

threadTrain() - Method in class org.encog.examples.unfinished.maze.MouseMaze

THRUST - Static variable in class org.encog.examples.neural.lunar.LanderSimulator

TICKER - Static variable in class org.encog.examples.neural.predict.market.Config

toString() - Method in class org.encog.examples.neural.gui.ocr.SampleData

Convert this sample to a string.

toString() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Hand

toString() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Participant

toString() - Method in class org.encog.examples.nonlinear.basicstrategy.blackjack.Table

toString() - Method in class org.encog.examples.nonlinear.basicstrategy.Player

train(BasicNetwork, MLDataSet) - Method in class org.encog.examples.neural.cross.CrossValidateSunspot

train(ForestConfig, boolean) - Static method in class org.encog.examples.neural.forest.ForestCover

train(boolean) - Method in class org.encog.examples.neural.forest.TrainNetwork

train() - Method in class org.encog.examples.neural.gui.hopfield.HopfieldPanel

Train the neural network.

train(File) - Static method in class org.encog.examples.neural.predict.market.MarketTrain

train(BasicNetwork, NeuralDataSet) - Method in class org.encog.examples.neural.predict.sunspot.PredictSunspot

train(SVM, MLDataSet) - Method in class org.encog.examples.neural.predict.sunspot.PredictSunspotSVM

TRAIN_END - Static variable in class org.encog.examples.neural.cross.CrossValidateSunspot

TRAIN_END - Static variable in class org.encog.examples.neural.predict.sunspot.PredictSunspot

TRAIN_END - Static variable in class org.encog.examples.neural.predict.sunspot.PredictSunspotSVM

TRAIN_START - Static variable in class org.encog.examples.neural.cross.CrossValidateSunspot

TRAIN_START - Static variable in class org.encog.examples.neural.predict.sunspot.PredictSunspot

TRAIN_START - Static variable in class org.encog.examples.neural.predict.sunspot.PredictSunspotSVM

trainAndSave() - Method in class org.encog.examples.neural.persist.EncogPersistence

trainAndSave() - Method in class org.encog.examples.neural.persist.Serial

TRAINING_FILE - Static variable in class org.encog.examples.neural.predict.market.Config

TRAINING_MINUTES - Static variable in class org.encog.examples.neural.predict.market.Config

trainInstar(CPN, MLDataSet) - Method in class org.encog.examples.neural.cpn.RocketCPN

TrainNetwork - Class in org.encog.examples.neural.forest

TrainNetwork(ForestConfig) - Constructor for class org.encog.examples.neural.forest.TrainNetwork

trainNetwork(String, BasicNetwork, MLDataSet) - Static method in class org.encog.examples.neural.recurrent.elman.ElmanXOR

trainNetwork(String, BasicNetwork, MLDataSet) - Static method in class org.encog.examples.neural.recurrent.jordan.JordanXOR

trainOutstar(CPN, MLDataSet) - Method in class org.encog.examples.neural.cpn.RocketCPN

TrainResume - Class in org.encog.examples.neural.resume

This example shows how to begin training a neural network, stop, and then resume.

TrainResume() - Constructor for class org.encog.examples.neural.resume.TrainResume

TRIES - Static variable in class org.encog.examples.neural.benchmark.FahlmanEncoder

tryRange(double, double) - Static method in class org.encog.examples.neural.benchmark.ErrorMethod

TSPGenome - Class in org.encog.examples.nonlinear.tsp.genetic

TSPChromosome: A chromosome that is used to attempt to solve the traveling salesman problem.

TSPGenome(GeneticAlgorithm, City[]) - Constructor for class org.encog.examples.nonlinear.tsp.genetic.TSPGenome

TSPScore - Class in org.encog.examples.nonlinear.tsp.genetic

TSPScore(City[]) - Constructor for class org.encog.examples.nonlinear.tsp.genetic.TSPScore

TSPSimulatedAnnealing - Class in org.encog.examples.nonlinear.tsp.anneal

TSPSimulatedAnnealing: Implementation of the simulated annealing algorithm that trys to solve the traveling salesman problem.

TSPSimulatedAnnealing(City[], double, double, int) - Constructor for class org.encog.examples.nonlinear.tsp.anneal.TSPSimulatedAnnealing

The constructor.

turn(boolean) - Method in class org.encog.examples.neural.lunar.LanderSimulator

TYPE - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

TYPE_ACE - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

TYPE_EIGHT - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

TYPE_FIVE - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

TYPE_FOUR - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

TYPE_JACK - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

TYPE_KING - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

TYPE_NINE - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

TYPE_QUEEN - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

TYPE_SEVEN - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

TYPE_SIX - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

TYPE_TEN - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

TYPE_THREE - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

TYPE_TWO - Static variable in class org.encog.examples.nonlinear.basicstrategy.blackjack.Shoe

U

update(int, double) - Method in class org.encog.examples.neural.gui.ocr.OCR

Called to update the stats, from the neural network.

updateVision() - Method in class org.encog.examples.unfinished.maze.NeuralMouse

usage() - Method in class org.encog.examples.neural.xor.XORFactory

Display usage information.

V

valueOf(String) - Static method in enum org.encog.examples.unfinished.maze.MouseMaze.State

Returns the enum constant of this type with the specified name.

values() - Static method in enum org.encog.examples.unfinished.maze.MouseMaze.State

Returns an array containing the constants of this enum type, in the order they are declared.

VISION_POINT_10_OCLOCK - Static variable in class org.encog.examples.unfinished.maze.Constants

VISION_POINT_11_OCLOCK - Static variable in class org.encog.examples.unfinished.maze.Constants

VISION_POINT_12_OCLOCK - Static variable in class org.encog.examples.unfinished.maze.Constants

VISION_POINT_1_OCLOCK - Static variable in class org.encog.examples.unfinished.maze.Constants

VISION_POINT_2_OCLOCK - Static variable in class org.encog.examples.unfinished.maze.Constants

VISION_POINT_3_OCLOCK - Static variable in class org.encog.examples.unfinished.maze.Constants

VISION_POINT_4_OCLOCK - Static variable in class org.encog.examples.unfinished.maze.Constants

VISION_POINT_5_OCLOCK - Static variable in class org.encog.examples.unfinished.maze.Constants

VISION_POINT_6_OCLOCK - Static variable in class org.encog.examples.unfinished.maze.Constants

VISION_POINT_7_OCLOCK - Static variable in class org.encog.examples.unfinished.maze.Constants

VISION_POINT_8_OCLOCK - Static variable in class org.encog.examples.unfinished.maze.Constants

VISION_POINT_9_OCLOCK - Static variable in class org.encog.examples.unfinished.maze.Constants

VISION_POINTS - Static variable in class org.encog.examples.unfinished.maze.Constants

vLineClear(int) - Method in class org.encog.examples.neural.gui.ocr.Entry

This method is called to determine ....

W

WeightInitialization - Class in org.encog.examples.neural.benchmark

There are several ways to init the weights in an Encog neural network.

WeightInitialization() - Constructor for class org.encog.examples.neural.benchmark.WeightInitialization

WEST - Static variable in class org.encog.examples.unfinished.maze.Maze

WIDTH - Static variable in class org.encog.examples.neural.cpn.RocketCPN

WIDTH - Static variable in class org.encog.examples.neural.gui.som.MapPanel

width - Variable in class org.encog.examples.unfinished.maze.MazePanel

WINDOW_SIZE - Static variable in class org.encog.examples.neural.cross.CrossValidateSunspot

WINDOW_SIZE - Static variable in class org.encog.examples.neural.predict.sunspot.PredictSunspot

WINDOW_SIZE - Static variable in class org.encog.examples.neural.predict.sunspot.PredictSunspotSVM

X

x - Variable in class org.encog.examples.unfinished.maze.MazeCell

XOR - Class in org.encog.examples.neural.util

Training data for the XOR operator.

XOR() - Constructor for class org.encog.examples.neural.util.XOR

XOR_IDEAL - Static variable in class org.encog.examples.neural.benchmark.TestConverge

The ideal data necessary for XOR.

XOR_IDEAL - Static variable in class org.encog.examples.neural.benchmark.WeightInitialization

XOR_IDEAL - Static variable in class org.encog.examples.neural.persist.EncogPersistence

XOR_IDEAL - Static variable in class org.encog.examples.neural.persist.Serial

XOR_IDEAL - Static variable in class org.encog.examples.neural.resume.TrainResume

XOR_IDEAL - Static variable in class org.encog.examples.neural.util.XOR

XOR_IDEAL - Static variable in class org.encog.examples.neural.xor.XORConst

The ideal data necessary for XOR.

XOR_IDEAL - Static variable in class org.encog.examples.neural.xor.XORDisplay

XOR_IDEAL - Static variable in class org.encog.examples.neural.xor.XORFactory

The ideal data necessary for XOR.

XOR_IDEAL - Static variable in class org.encog.examples.neural.xor.XORFlat

XOR_IDEAL - Static variable in class org.encog.examples.neural.xor.XORHelloWorld

The ideal data necessary for XOR.

XOR_IDEAL - Static variable in class org.encog.examples.neural.xor.XORNEAT

XOR_IDEAL - Static variable in class org.encog.examples.neural.xorpartial.XORPartial

XOR_IDEAL - Static variable in class org.encog.examples.neural.xorpartial.XORPartialAuto

XOR_INPUT - Static variable in class org.encog.examples.neural.benchmark.TestConverge

The input necessary for XOR.

XOR_INPUT - Static variable in class org.encog.examples.neural.benchmark.WeightInitialization

XOR_INPUT - Static variable in class org.encog.examples.neural.persist.EncogPersistence

XOR_INPUT - Static variable in class org.encog.examples.neural.persist.Serial

XOR_INPUT - Static variable in class org.encog.examples.neural.resume.TrainResume

XOR_INPUT - Static variable in class org.encog.examples.neural.util.XOR

XOR_INPUT - Static variable in class org.encog.examples.neural.xor.XORConst

The input necessary for XOR.

XOR_INPUT - Static variable in class org.encog.examples.neural.xor.XORDisplay

XOR_INPUT - Static variable in class org.encog.examples.neural.xor.XORFactory

The input necessary for XOR.

XOR_INPUT - Static variable in class org.encog.examples.neural.xor.XORFlat

XOR_INPUT - Static variable in class org.encog.examples.neural.xor.XORHelloWorld

The input necessary for XOR.

XOR_INPUT - Static variable in class org.encog.examples.neural.xor.XORNEAT

XOR_INPUT - Static variable in class org.encog.examples.neural.xorpartial.XORPartial

XOR_INPUT - Static variable in class org.encog.examples.neural.xorpartial.XORPartialAuto

xorAnneal() - Method in class org.encog.examples.neural.xor.XORFactory

Demonstrate a XOR annealing.

xorBackProp() - Method in class org.encog.examples.neural.xor.XORFactory

Demonstrate a feedforward network with backpropagation.

xorBiasless() - Method in class org.encog.examples.neural.xor.XORFactory

Demonstrate a feedforward biasless network with RPROP.

XORConst - Class in org.encog.examples.neural.xor

XOR: This example is essentially the "Hello World" of neural network programming.

XORConst() - Constructor for class org.encog.examples.neural.xor.XORConst

XORCSV - Class in org.encog.examples.neural.csv

XOR: This example is essentially the "Hello World" of neural network programming.

XORCSV() - Constructor for class org.encog.examples.neural.csv.XORCSV

XORDisplay - Class in org.encog.examples.neural.xor

This example trains an XOR network and displays internal data as training progresses.

XORDisplay() - Constructor for class org.encog.examples.neural.xor.XORDisplay

XORFactory - Class in org.encog.examples.neural.xor

This example shows how to use the Encog machine learning factory to generate a number of machine learning methods and training techniques to learn the XOR operator.

XORFactory() - Constructor for class org.encog.examples.neural.xor.XORFactory

XORFlat - Class in org.encog.examples.neural.xor

XOR: This example is essentially the "Hello World" of neural network programming.

XORFlat() - Constructor for class org.encog.examples.neural.xor.XORFlat

xorGenetic() - Method in class org.encog.examples.neural.xor.XORFactory

Demonstrate a XOR genetic.

XORHelloWorld - Class in org.encog.examples.neural.xor

XOR: This example is essentially the "Hello World" of neural network programming.

XORHelloWorld() - Constructor for class org.encog.examples.neural.xor.XORHelloWorld

xorLMA() - Method in class org.encog.examples.neural.xor.XORFactory

Demonstrate a XOR LMA.

xorManhattan() - Method in class org.encog.examples.neural.xor.XORFactory

Demonstrate a XOR LMA.

XORNEAT - Class in org.encog.examples.neural.xor

XOR-NEAT: This example solves the classic XOR operator neural network problem.

XORNEAT() - Constructor for class org.encog.examples.neural.xor.XORNEAT

XORPartial - Class in org.encog.examples.neural.xorpartial

Partial neural networks.

XORPartial() - Constructor for class org.encog.examples.neural.xorpartial.XORPartial

XORPartialAuto - Class in org.encog.examples.neural.xorpartial

Partial neural networks.

XORPartialAuto() - Constructor for class org.encog.examples.neural.xorpartial.XORPartialAuto

xorPNNC() - Method in class org.encog.examples.neural.xor.XORFactory

Demonstrate a XOR RBF.

xorPNNR() - Method in class org.encog.examples.neural.xor.XORFactory

Demonstrate a XOR RBF.

xorQProp() - Method in class org.encog.examples.neural.xor.XORFactory

Demonstrate a feedforward network with backpropagation.

xorRBF() - Method in class org.encog.examples.neural.xor.XORFactory

Demonstrate a XOR RBF.

xorRPROP() - Method in class org.encog.examples.neural.xor.XORFactory

Demonstrate a feedforward network with RPROP.

xorSCG() - Method in class org.encog.examples.neural.xor.XORFactory

Demonstrate a XOR SCG.

XORSQL - Class in org.encog.examples.neural.xorsql

XOR SQL: This program uses a SQL data source to train a neural network.

XORSQL() - Constructor for class org.encog.examples.neural.xorsql.XORSQL

xorSVD() - Method in class org.encog.examples.neural.xor.XORFactory

Demonstrate a XOR RBF.

xorSVMClassify() - Method in class org.encog.examples.neural.xor.XORFactory

Demonstrate a SVM-classify.

xorSVMRegression() - Method in class org.encog.examples.neural.xor.XORFactory

Demonstrate a SVM-regression.

xorSVMSearchRegression() - Method in class org.encog.examples.neural.xor.XORFactory

Demonstrate a SVM-regression search.

Y

y - Variable in class org.encog.examples.unfinished.maze.MazeCell

A B C D E F G H I J K L M N O P R S T U V W X Y