org.encog.ml.genetic

Class MLMethodGenome

java.lang.Object

org.encog.ml.ea.genome.BasicGenome

org.encog.ml.genetic.genome.DoubleArrayGenome

org.encog.ml.genetic.MLMethodGenome

All Implemented Interfaces:

java.io.Serializable, Genome, ArrayGenome, MLMethod

public class MLMethodGenome
extends DoubleArrayGenome

Implements a genome that allows a feedforward neural network to be trained using a genetic algorithm. The chromosome for a feed forward neural network is the weight and bias matrix.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
MLMethodGenome(MLEncodable thePhenotype) Construct a neural genome.

Method Summary

Modifier and Type	Method and Description
void	decode() Decode the phenotype.
MLEncodable	getPhenotype()
void	setPhenotype(MLEncodable phenotype)

Methods inherited from class org.encog.ml.genetic.genome.DoubleArrayGenome

copy, copy, getData, size, swap

Methods inherited from class org.encog.ml.ea.genome.BasicGenome

getAdjustedScore, getBirthGeneration, getPopulation, getScore, getSource, getSpecies, setAdjustedScore, setBirthGeneration, setPopulation, setScore, setSource, setSpecies, toString

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.encog.ml.ea.genome.Genome

getAdjustedScore, getBirthGeneration, getPopulation, getScore, getSource, getSpecies, setAdjustedScore, setBirthGeneration, setPopulation, setScore, setSource, setSpecies

Constructor Detail

MLMethodGenome

public MLMethodGenome(MLEncodable thePhenotype)

Construct a neural genome.

Parameters:

thePhenotype - The phenotype to use.

Method Detail

decode

public void decode()

Decode the phenotype.

getPhenotype

public MLEncodable getPhenotype()

Returns:

the phenotype

setPhenotype

public void setPhenotype(MLEncodable phenotype)

Parameters:

phenotype - the phenotype to set