org.generation5.nn
Class EvoFeedForwardNN

java.lang.Object
  org.generation5.nn.NeuralNetwork
      org.generation5.nn.FeedForwardNN
          org.generation5.nn.EvoFeedForwardNN

All Implemented Interfaces:

java.lang.Comparable, Evolvable, Visualizable

public class EvoFeedForwardNN

extends FeedForwardNN

implements Evolvable

This class implements an evolutionary feedforward network.

Field Summary

protected double	fitnessValue The fitness value for this feedforward network.
protected double[][]	inputData The input test data.

Fields inherited from class org.generation5.nn.FeedForwardNN

nnLayers, numLayers

Fields inherited from class org.generation5.nn.NeuralNetwork

activation, visualization

Constructor Summary

EvoFeedForwardNN(int hidden)
Creates a new instance of EvoFeedForwardNN

Method Summary

void	calculateFitness() Calculate the fitness for this network.
int	compareTo(java.lang.Object o) Compare to another feedforward network.
double	getFitness() Return the fitness value for this network.
static void	main(java.lang.String[] args)
Evolvable	mate(Evolvable partner) Mate with another network.
void	mutate() Mutate this feedforward network.
void	randomInitialize() Randomly initialize the network.

Methods inherited from class org.generation5.nn.FeedForwardNN

initialize, run, setHiddenLayer, setInputLayer, setOutputLayer, train

Methods inherited from class org.generation5.nn.NeuralNetwork

getVisualization, render, setActivation, setVisualization, train, train, writeImage

Methods inherited from class java.lang.Object

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

Field Detail

fitnessValue

protected double fitnessValue

The fitness value for this feedforward network.

inputData

protected double[][] inputData

The input test data.

Constructor Detail

EvoFeedForwardNN

public EvoFeedForwardNN(int hidden)

Creates a new instance of EvoFeedForwardNN

Parameters:

hidden - the number of hidden layers.

Method Detail

main

public static void main(java.lang.String[] args)

Parameters:

args - the command line arguments

calculateFitness

public void calculateFitness()

Calculate the fitness for this network. This is defined as the difference between the actual and desired output of the network.

Specified by:

calculateFitness in interface Evolvable

compareTo

public int compareTo(java.lang.Object o)

Compare to another feedforward network.

Specified by:

compareTo in interface java.lang.Comparable

Parameters:

o - the comparable object.

Returns:

-1, 0 or 1.

getFitness

public double getFitness()

Return the fitness value for this network.

Specified by:

getFitness in interface Evolvable

Returns:

the fitness value.

mate

public Evolvable mate(Evolvable partner)

Mate with another network.

Specified by:

mate in interface Evolvable

Parameters:

partner - the other parent network.

Returns:

the new child network.

mutate

public void mutate()

Mutate this feedforward network.

Specified by:

mutate in interface Evolvable

randomInitialize

public void randomInitialize()

Randomly initialize the network. The weights within the feedforward are randomly initialized.

Specified by:

randomInitialize in interface Evolvable