/*
* 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.training;
import java.io.Serializable;
import org.encog.engine.network.activation.ActivationFunction;
import org.encog.neural.neat.NEATNeuronType;
/**
* Implements a NEAT neuron gene.
*
* 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 NEATNeuronGene extends NEATBaseGene implements Serializable {
/**
* Serial id.
*/
private static final long serialVersionUID = 1L;
/**
* The neuron type.
*/
private NEATNeuronType neuronType;
/**
* The activation function.
*/
private ActivationFunction activationFunction;
/**
* The default constructor.
*/
public NEATNeuronGene() {
}
/**
* Construct a neuron gene.
* @param type The neuron type.
* @param theActivationFunction The activation function.
* @param id The neuron id.
* @param innovationID The innovation id.
*/
public NEATNeuronGene(final NEATNeuronType type, ActivationFunction theActivationFunction, final long id, final long innovationID) {
this.neuronType = type;
this.setInnovationId(innovationID);
setId(id);
this.activationFunction = theActivationFunction;
}
/**
* Construct this gene by comping another.
* @param other The other gene to copy.
*/
public NEATNeuronGene(NEATNeuronGene other) {
copy(other);
}
/**
* Copy another gene to this one.
*
* @param gene
* The other gene.
*/
public void copy(final NEATNeuronGene gene) {
final NEATNeuronGene other = gene;
setId(other.getId());
this.neuronType = other.neuronType;
this.activationFunction = other.activationFunction;
this.setInnovationId(other.getInnovationId());
}
/**
* @return The type for this neuron.
*/
public NEATNeuronType getNeuronType() {
return this.neuronType;
}
/**
* Set the neuron type.
*
* @param neuronType
* The neuron type.
*/
public void setNeuronType(final NEATNeuronType neuronType) {
this.neuronType = neuronType;
}
/**
* @return the activationFunction
*/
public ActivationFunction getActivationFunction() {
return activationFunction;
}
/**
* @param activationFunction the activationFunction to set
*/
public void setActivationFunction(ActivationFunction activationFunction) {
this.activationFunction = activationFunction;
}
/**
* {@inheritDoc}
*/
@Override
public String toString() {
StringBuilder result = new StringBuilder();
result.append("[NEATNeuronGene: id=");
result.append(this.getId());
result.append(", type=");
result.append(this.getNeuronType());
result.append("]");
return result.toString();
}
}