/*
* 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;
/**
* The types of neurons supported by NEAT.
*
* 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 enum NEATNeuronType {
/**
* Each NEAT network has one bias neuron.
*/
Bias,
/**
* Hidden neurons are between the input and output.
*/
Hidden,
/**
* Input neurons receive input, they are never altered during evolution.
*/
Input,
/**
* Not really a neuron type, as you will never see one of these in the
* network. However, it is used to mark an innovation as not affecting a
* neuron type, but rather a link.
*/
None,
/**
* Output neurons provide output, they are never altered during evolution.
*/
Output
}