org.encog.neural.neat
Class NEATLink

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

All Implemented Interfaces:

Serializable

public class NEATLink
extends Object
implements Serializable

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/

See Also:

Serialized Form

Constructor Summary

NEATLink()
Default constructor, used mainly for persistance.

NEATLink(double weight, NEATNeuron fromNeuron, NEATNeuron toNeuron, boolean recurrent)
Construct a NEAT link.

Method Summary

NEATNeuron	getFromNeuron()
NEATNeuron	getToNeuron()
double	getWeight()
boolean	isRecurrent()
boolean	supportsMapPersistence()
String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

NEATLink

public NEATLink()

Default constructor, used mainly for persistance.

NEATLink

public NEATLink(double weight,
                NEATNeuron fromNeuron,
                NEATNeuron toNeuron,
                boolean recurrent)

Construct a NEAT link.

Parameters:

weight - The weight between the two neurons.

fromNeuron - The source neuron.

toNeuron - The target neuron.

recurrent - Is this a recurrent link.

Method Detail

getFromNeuron

public NEATNeuron getFromNeuron()

Returns:

The source neuron.

getToNeuron

public NEATNeuron getToNeuron()

Returns:

The target neuron.

getWeight

public double getWeight()

Returns:

The weight of the link.

isRecurrent

public boolean isRecurrent()

Returns:

True if this is a recurrent link.

supportsMapPersistence

public boolean supportsMapPersistence()

toString

public String toString()

Overrides:

toString in class Object