/*
* Encog(tm) Core v3.4 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2016 Heaton Research, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.neural.neat;
import java.io.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/
* 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
*/
public class NEATLink implements Serializable, Comparable<NEATLink> {
/**
* The serial id.
*/
private static final long serialVersionUID = -4117045705080951946L;
/**
* The source neuron.
*/
private int fromNeuron;
/**
* The target neuron.
*/
private int toNeuron;
/**
* The weight.
*/
private double weight;
/**
* Construct a NEAT link.
* @param theFromNeuron The from neuron.
* @param theToNeuron The to neuron.
* @param theWeight The weight.
*/
public NEATLink(final int theFromNeuron, final int theToNeuron,
final double theWeight) {
this.fromNeuron = theFromNeuron;
this.toNeuron = theToNeuron;
this.weight = theWeight;
}
/**
* {@inheritDoc}
*/
@Override
public int compareTo(final NEATLink other) {
final int result = this.fromNeuron - other.fromNeuron;
if (result != 0) {
return result;
}
return this.toNeuron - other.toNeuron;
}
/**
* {@inheritDoc}
*/
@Override
public boolean equals(final Object other) {
if (other == null) {
return false;
}
if (other == this) {
return true;
}
if (!(other instanceof NEATLink)) {
return false;
}
final NEATLink otherMyClass = (NEATLink) other;
return compareTo(otherMyClass) == 0;
}
/**
* @return The from neuron.
*/
public int getFromNeuron() {
return this.fromNeuron;
}
/**
* @return The to neuron.
*/
public int getToNeuron() {
return this.toNeuron;
}
/**
* @return The weight of the link.
*/
public double getWeight() {
return this.weight;
}
/**
* Set the from neuron.
* @param fromNeuron The from neuron.
*/
public void setFromNeuron(final int fromNeuron) {
this.fromNeuron = fromNeuron;
}
/**
* Set the target neuron.
* @param toNeuron The target neuron.
*/
public void setToNeuron(final int toNeuron) {
this.toNeuron = toNeuron;
}
/**
* Set the weight of this link.
* @param weight The weight.
*/
public void setWeight(final double weight) {
this.weight = weight;
}
/**
* {@inheritDoc}
*/
@Override
public String toString() {
final StringBuilder result = new StringBuilder();
result.append("[NEATLink: fromNeuron=");
result.append(this.fromNeuron);
result.append(", toNeuron=");
result.append(this.toNeuron);
result.append("]");
return result.toString();
}
}