yawn.nn.appart
Class AppArtConfig

java.lang.Object
  yawn.config.ConfigElement
      yawn.config.NeuralNetworkConfig
          yawn.nn.appart.AppArtConfig

public class AppArtConfig
extends NeuralNetworkConfig

$Id: AppArtConfig.java,v 1.6 2005/04/07 17:28:25 supermarti Exp $

Version:

$Revision: 1.6 $

Author:

Luis Martí (luis dot marti at uc3m dot es)

Field Summary

protected double	desiredMeanSquaredError
protected Pattern	initialDeviations
protected double	learningRate
protected boolean	matchTrackingOneShot
protected long	maxEpochs
protected double	predictionError
protected double	predictionLayerLearningRate
protected double	testMatchVigilance
protected double	trainMatchVigilance
protected boolean	useAbsoluteError

Fields inherited from class yawn.config.NeuralNetworkConfig

environment

Constructor Summary

AppArtConfig()

Method Summary

NeuralNetwork	configuredNetworkFactory() A factory of ready to train (and use) neural networks
java.lang.Class	getBindedNetworkClass()
double	getDesiredMeanSquaredError()
Pattern	getInitialDeviations()
int	getInputSize()
double	getLearningRate()
long	getMaxEpochs()
int	getOutputSize()
double	getPredictionError()
double	getPredictionLayerLearningRate()
double	getTestMatchVigilance()
double	getTrainMatchVigilance()
protected void	internalValidate()
boolean	isMatchTrackingOneShot()
boolean	isUseAbsoluteError()
void	setDesiredMeanSquaredError(double desiredMeanSquaredError)
void	setInitialDeviations(Pattern initialDeviations)
void	setLearningRate(double learningRate)
void	setMatchTrackingOneShot(boolean matchTrackingOneShot)
void	setMaxEpochs(long maxEpochs)
void	setPredictionError(double predictionError)
void	setPredictionLayerLearningRate(double predictionLayerLearningRate)
void	setTestMatchVigilance(double testMatchVigilance)
void	setTrainMatchVigilance(double trainMatchVigilance)
void	setUseAbsoluteError(boolean useAbsoluteError)

Methods inherited from class yawn.config.NeuralNetworkConfig

environmentValidate, getEnvironment, setBindedNetworkClass, setEnvironment, validate

Methods inherited from class yawn.config.ConfigElement

equals

Methods inherited from class java.lang.Object

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

Field Detail

maxEpochs

protected long maxEpochs

desiredMeanSquaredError

protected double desiredMeanSquaredError

initialDeviations

protected Pattern initialDeviations

learningRate

protected double learningRate

matchTrackingOneShot

protected boolean matchTrackingOneShot

predictionError

protected double predictionError

testMatchVigilance

protected double testMatchVigilance

trainMatchVigilance

protected double trainMatchVigilance

useAbsoluteError

protected boolean useAbsoluteError

predictionLayerLearningRate

protected double predictionLayerLearningRate

Constructor Detail

AppArtConfig

public AppArtConfig()

Method Detail

getMaxEpochs

public long getMaxEpochs()

Returns:

Returns the maxEpochs.

setMaxEpochs

public void setMaxEpochs(long maxEpochs)

Parameters:

maxEpochs - The maxEpochs to set.

getPredictionLayerLearningRate

public double getPredictionLayerLearningRate()

Returns:

Returns the predictionLayerLearningRate.

setPredictionLayerLearningRate

public void setPredictionLayerLearningRate(double predictionLayerLearningRate)

Parameters:

predictionLayerLearningRate - The predictionLayerLearningRate to set.

getInitialDeviations

public Pattern getInitialDeviations()

Returns:

Returns the initialDeviations.

setInitialDeviations

public void setInitialDeviations(Pattern initialDeviations)

Parameters:

initialDeviations - The initialDeviations to set.

getLearningRate

public double getLearningRate()

Returns:

Returns the learningRate.

setLearningRate

public void setLearningRate(double learningRate)

Parameters:

learningRate - The learningRate to set.

isMatchTrackingOneShot

public boolean isMatchTrackingOneShot()

Returns:

Returns the matchTrackingOneShot.

setMatchTrackingOneShot

public void setMatchTrackingOneShot(boolean matchTrackingOneShot)

Parameters:

matchTrackingOneShot - The matchTrackingOneShot to set.

getPredictionError

public double getPredictionError()

Returns:

Returns the predictionError.

setPredictionError

public void setPredictionError(double predictionError)

Parameters:

predictionError - The predictionError to set.

getTestMatchVigilance

public double getTestMatchVigilance()

Returns:

Returns the testMatchVigilance.

setTestMatchVigilance

public void setTestMatchVigilance(double testMatchVigilance)

Parameters:

testMatchVigilance - The testMatchVigilance to set.

getTrainMatchVigilance

public double getTrainMatchVigilance()

Returns:

Returns the trainMatchVigilance.

setTrainMatchVigilance

public void setTrainMatchVigilance(double trainMatchVigilance)

Parameters:

trainMatchVigilance - The trainMatchVigilance to set.

isUseAbsoluteError

public boolean isUseAbsoluteError()

Returns:

Returns the useAbsoluteError.

setUseAbsoluteError

public void setUseAbsoluteError(boolean useAbsoluteError)

Parameters:

useAbsoluteError - The useAbsoluteError to set.

configuredNetworkFactory

public NeuralNetwork configuredNetworkFactory()

Description copied from class: NeuralNetworkConfig

A factory of ready to train (and use) neural networks

Overrides:

configuredNetworkFactory in class NeuralNetworkConfig

Returns:

Returns a configured network.

See Also:

NeuralNetworkConfig.configuredNetworkFactory()

getBindedNetworkClass

public java.lang.Class getBindedNetworkClass()

Specified by:

getBindedNetworkClass in class NeuralNetworkConfig

See Also:

NeuralNetworkConfig.getBindedNetworkClass()

internalValidate

protected void internalValidate()
                         throws ValidationException

Specified by:

internalValidate in class NeuralNetworkConfig

Throws:

ValidationException

See Also:

NeuralNetworkConfig.internalValidate()

getInputSize

public int getInputSize()

getOutputSize

public int getOutputSize()

getDesiredMeanSquaredError

public double getDesiredMeanSquaredError()

Returns:

Returns the desiredMeanSquaredError.

setDesiredMeanSquaredError

public void setDesiredMeanSquaredError(double desiredMeanSquaredError)

Parameters:

desiredMeanSquaredError - The desiredMeanSquaredError to set.