org.encog.neural.neat
Class NEATLink

java.lang.Object
  org.encog.neural.neat.NEATLink

All Implemented Interfaces:

Serializable, Comparable<NEATLink>

public class NEATLink
extends Object
implements Serializable, Comparable<NEATLink>

Implements a link between two NEAT neurons. NeuroEvolution of Augmenting Topologies (NEAT) is a genetic algorithm for the generation of evolving artificial neural networks. It was developed by Ken Stanley while at The University of Texas at Austin. ----------------------------------------------------------------------------- http://www.cs.ucf.edu/~kstanley/ Encog's NEAT implementation was drawn from the following three Journal Articles. For more complete BibTeX sources, see NEATNetwork.java. Evolving Neural Networks Through Augmenting Topologies Generating Large-Scale Neural Networks Through Discovering Geometric Regularities Automatic feature selection in neuroevolution

See Also:

Serialized Form

Constructor Summary

NEATLink(int theFromNeuron, int theToNeuron, double theWeight)
Construct a NEAT link.

Method Summary

int	compareTo(NEATLink other)
boolean	equals(Object other)
int	getFromNeuron()
int	getToNeuron()
double	getWeight()
void	setFromNeuron(int fromNeuron) Set the from neuron.
void	setToNeuron(int toNeuron) Set the target neuron.
void	setWeight(double weight) Set the weight of this link.
String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

NEATLink

public NEATLink(int theFromNeuron,
                int theToNeuron,
                double theWeight)

Construct a NEAT link.

Parameters:

theFromNeuron - The from neuron.

theToNeuron - The to neuron.

theWeight - The weight.

Method Detail

compareTo

public int compareTo(NEATLink other)

Specified by:

compareTo in interface Comparable<NEATLink>

equals

public boolean equals(Object other)

Overrides:

equals in class Object

getFromNeuron

public int getFromNeuron()

Returns:

The from neuron.

getToNeuron

public int getToNeuron()

Returns:

The to neuron.

getWeight

public double getWeight()

Returns:

The weight of the link.

setFromNeuron

public void setFromNeuron(int fromNeuron)

Set the from neuron.

Parameters:

fromNeuron - The from neuron.

setToNeuron

public void setToNeuron(int toNeuron)

Set the target neuron.

Parameters:

toNeuron - The target neuron.

setWeight

public void setWeight(double weight)

Set the weight of this link.

Parameters:

weight - The weight.

toString

public String toString()

Overrides:

toString in class Object