org.encog.examples.neural.cross
Class CrossValidateSunspot

java.lang.Object
  org.encog.examples.neural.cross.CrossValidateSunspot

public class CrossValidateSunspot
extends Object

Use cross validation to predict sunspots. This examples shows how to use Encog cross validation. The sunspot data is from an example by Karsten Kutza, written in C on 1996-01-24. http://www.neural-networks-at-your-fingertips.com

Field Summary

static int	EVALUATE_END
static int	EVALUATE_START
static double	MAX_ERROR This really should be lowered, I am setting it to a level here that will train in under a minute.
static int	STARTING_YEAR
static double[]	SUNSPOTS
static int	TRAIN_END
static int	TRAIN_START
static int	WINDOW_SIZE

Constructor Summary

CrossValidateSunspot()

Method Summary

org.encog.neural.networks.BasicNetwork	createNetwork()
org.encog.ml.data.MLDataSet	generateTraining()
static void	main(String[] args)
void	normalizeSunspots(double lo, double hi)
void	predict(org.encog.neural.networks.BasicNetwork network)
void	run()
void	train(org.encog.neural.networks.BasicNetwork network, org.encog.ml.data.MLDataSet training)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

SUNSPOTS

public static final double[] SUNSPOTS

STARTING_YEAR

public static final int STARTING_YEAR

See Also:

Constant Field Values

WINDOW_SIZE

public static final int WINDOW_SIZE

See Also:

Constant Field Values

TRAIN_START

public static final int TRAIN_START

See Also:

Constant Field Values

TRAIN_END

public static final int TRAIN_END

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Constant Field Values

EVALUATE_START

public static final int EVALUATE_START

See Also:

Constant Field Values

EVALUATE_END

public static final int EVALUATE_END

MAX_ERROR

public static final double MAX_ERROR

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

See Also:

Constant Field Values

Constructor Detail

CrossValidateSunspot

public CrossValidateSunspot()

Method Detail

normalizeSunspots

public void normalizeSunspots(double lo,
                              double hi)

generateTraining

public org.encog.ml.data.MLDataSet generateTraining()

createNetwork

public org.encog.neural.networks.BasicNetwork createNetwork()

train

public void train(org.encog.neural.networks.BasicNetwork network,
                  org.encog.ml.data.MLDataSet training)

predict

public void predict(org.encog.neural.networks.BasicNetwork network)

run

public void run()

main

public static void main(String[] args)