yawn.optim.genetic
Class GeneticParameterFitterConfig
java.lang.Object
yawn.config.ConfigElement
yawn.config.NeuralNetworkConfig
yawn.optim.genetic.GeneticParameterFitterConfig
public class GeneticParameterFitterConfig
- extends NeuralNetworkConfig
This is yawn.optim.genetic.GeneticParameterFitterConfig, part of the yawn
project.
$Id: GeneticParameterFitterConfig.java,v 1.1 2005/04/05 16:30:43
supermarti Exp $
- Version:
- $Revision: 1.2 $
- Author:
- Luis Martí (luis dot marti at uc3m dot es)
Methods inherited from class java.lang.Object |
clone, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
maxGenerations
protected int maxGenerations
modeltoBeFittedConfig
protected NeuralNetworkConfig modeltoBeFittedConfig
populationSize
protected int populationSize
preserveFittestIndividual
protected boolean preserveFittestIndividual
GeneticParameterFitterConfig
public GeneticParameterFitterConfig()
getBindedNetworkClass
public java.lang.Class getBindedNetworkClass()
- Specified by:
getBindedNetworkClass
in class NeuralNetworkConfig
- See Also:
NeuralNetworkConfig.getBindedNetworkClass()
getMaxGenerations
public int getMaxGenerations()
- Returns:
- Returns the maxGenerations.
getModeltoBeFittedConfig
public NeuralNetworkConfig getModeltoBeFittedConfig()
- Returns:
- Returns the modeltoBeFittedConfig.
getPopulationSize
public int getPopulationSize()
- Returns:
- Returns the populationSize.
getPreserveFittestIndividual
public boolean getPreserveFittestIndividual()
- Returns:
- Returns the preserveFittestIndividual.
internalValidate
protected void internalValidate()
throws ValidationException
- Specified by:
internalValidate
in class NeuralNetworkConfig
- Throws:
ValidationException
isPreserveFittestIndividual
public boolean isPreserveFittestIndividual()
- Returns:
- Returns the preserveFittestIndividual.
setMaxGenerations
public void setMaxGenerations(int maxGenerations)
- Parameters:
maxGenerations
- The maxGenerations to set.
setModeltoBeFittedConfig
public void setModeltoBeFittedConfig(NeuralNetworkConfig fittedModelConfig)
- Parameters:
modeltoBeFittedConfig
- The modeltoBeFittedConfig 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.
setEnvironment
public void setEnvironment(Environment environment)
- Overrides:
setEnvironment
in class NeuralNetworkConfig
Copyright © 2003-2005 GIAA, Universidad Carlos III de Madrid. All Rights Reserved.