yawn.optim.genetic
Class GeneticParameterFitter

java.lang.Object
  yawn.nn.NeuralNetwork
      yawn.optim.ParamerFitter
          yawn.optim.genetic.GeneticParameterFitter

All Implemented Interfaces:

java.io.Serializable

public class GeneticParameterFitter
extends ParamerFitter

This is yawn.optim.GeneticParameterFitter, part of the yawn project.
$Id: GeneticParameterFitter.java,v 1.1 2005/04/04 15:56:28 supermarti Exp $

Version:

$Revision: 1.3 $

Author:

Luis Martí (luis dot marti at uc3m dot es)

See Also:

Serialized Form

Field Summary

protected NeuralNetwork	fittedModel
protected int	maxGenerations
protected NeuralNetworkConfig	modeltoBeFittedConfig
protected int	populationSize
protected boolean	preserveFittestIndividual

Constructor Summary

GeneticParameterFitter()

Method Summary

NeuralNetwork	getFittedModel()
int	getInputSize()
int	getMaxGenerations()
NeuralNetworkConfig	getModeltoBeFittedConfig()
java.lang.String	getNeuralNetworkName() Returns a human readable
int	getOutputSize()
int	getPopulationSize()
boolean	isPreserveFittestIndividual()
void	oneLearningStep(Pattern input, Pattern output) Performs one learning iteration.
Pattern	predict(Pattern input) Computes a network prediction
void	setFittedModel(NeuralNetwork fittedModel)
void	setMaxGenerations(int maxGenerations)
void	setModeltoBeFittedConfig(NeuralNetworkConfig initialModelConfig)
void	setPopulationSize(int populationSize)
void	setPreserveFittestIndividual(boolean preserveFittestIndividual)
void	setup(NeuralNetworkConfig config)
void	train(InputOutputPattern[] iop) Trains the network until the stop criteria is met.
NeuralNetworkConfig	yieldConfiguration()

Methods inherited from class yawn.nn.NeuralNetwork

getAdapting, getStatisticsFacility, isAdapting, setAdapting, setStatisticsFacility

Methods inherited from class java.lang.Object

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

Field Detail

fittedModel

protected NeuralNetwork fittedModel

modeltoBeFittedConfig

protected NeuralNetworkConfig modeltoBeFittedConfig

maxGenerations

protected int maxGenerations

populationSize

protected int populationSize

preserveFittestIndividual

protected boolean preserveFittestIndividual

Constructor Detail

GeneticParameterFitter

public GeneticParameterFitter()

Method Detail

getFittedModel

public NeuralNetwork getFittedModel()

Returns:

Returns the fittedModel.

getModeltoBeFittedConfig

public NeuralNetworkConfig getModeltoBeFittedConfig()

Returns:

Returns the modeltoBeFittedConfig.

getInputSize

public int getInputSize()

Specified by:

getInputSize in class NeuralNetwork

getMaxGenerations

public int getMaxGenerations()

Returns:

Returns the maxGenerations.

getNeuralNetworkName

public java.lang.String getNeuralNetworkName()

Description copied from class: NeuralNetwork

Returns a human readable

Specified by:

getNeuralNetworkName in class NeuralNetwork

Returns:

The name

getOutputSize

public int getOutputSize()

Specified by:

getOutputSize in class NeuralNetwork

getPopulationSize

public int getPopulationSize()

Returns:

Returns the populationSize.

isPreserveFittestIndividual

public boolean isPreserveFittestIndividual()

Returns:

Returns the preserveFittestIndividual.

oneLearningStep

public void oneLearningStep(Pattern input,
                            Pattern output)

Description copied from class: NeuralNetwork

Performs one learning iteration.

Specified by:

oneLearningStep in class NeuralNetwork

Parameters:

input - The network input.

output - The desired output.

predict

public Pattern predict(Pattern input)

Description copied from class: NeuralNetwork

Computes a network prediction

Specified by:

predict in class NeuralNetwork

Parameters:

input - The input to propagate.

Returns:

the network output.

setFittedModel

public void setFittedModel(NeuralNetwork fittedModel)

Parameters:

fittedModel - The fittedModel to set.

setModeltoBeFittedConfig

public void setModeltoBeFittedConfig(NeuralNetworkConfig initialModelConfig)

Parameters:

modeltoBeFittedConfig - The modeltoBeFittedConfig to set.

setMaxGenerations

public void setMaxGenerations(int maxGenerations)

Parameters:

maxGenerations - The maxGenerations to set.

setPopulationSize

public void setPopulationSize(int populationSize)

Parameters:

populationSize - The populationSize to set.

setPreserveFittestIndividual

public void setPreserveFittestIndividual(boolean preserveFittestIndividual)

Parameters:

preserveFittestIndividual - The preserveFittestIndividual to set.

setup

public void setup(NeuralNetworkConfig config)
           throws ConfigurationException

Specified by:

setup in class NeuralNetwork

Throws:

ConfigurationException

train

public void train(InputOutputPattern[] iop)

Description copied from class: NeuralNetwork

Trains the network until the stop criteria is met.

Specified by:

train in class NeuralNetwork

Parameters:

iop - The training set to be learned.

yieldConfiguration

public NeuralNetworkConfig yieldConfiguration()

Specified by:

yieldConfiguration in class NeuralNetwork