neuralgeneticalgorithm.java

VHDL制作的ann的code

/*
  * Encog Neural Network and Bot Library for Java v1.x
  * http://www.heatonresearch.com/encog/
  * http://code.google.com/p/encog-java/
  * 
  * Copyright 2008, Heaton Research Inc., and individual contributors.
  * See the copyright.txt in the distribution for a full listing of 
  * individual contributors.
  *
  * This is free software; you can redistribute it and/or modify it
  * under the terms of the GNU Lesser General Public License as
  * published by the Free Software Foundation; either version 2.1 of
  * the License, or (at your option) any later version.
  *
  * This software is distributed in the hope that it will be useful,
  * but WITHOUT ANY WARRANTY; without even the implied warranty of
  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
  * Lesser General Public License for more details.
  *
  * You should have received a copy of the GNU Lesser General Public
  * License along with this software; if not, write to the Free
  * Software Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
  * 02110-1301 USA, or see the FSF site: http://www.fsf.org.
  */
package org.encog.neural.networks.training.genetic;

import org.encog.neural.networks.BasicNetwork;
import org.encog.neural.networks.Train;
import org.encog.solve.genetic.GeneticAlgorithm;


/**
 * NeuralGeneticAlgorithm: Implements a genetic algorithm that 
 * allows a feedforward neural network to be trained using a 
 * genetic algorithm.  This algorithm is for a feed forward neural 
 * network.  
 * 
 * This class is abstract.  If you wish to train the neural
 * network using training sets, you should use the 
 * TrainingSetNeuralGeneticAlgorithm class.  If you wish to use 
 * a cost function to train the neural network, then
 * implement a subclass of this one that properly calculates
 * the cost.
 */
public class NeuralGeneticAlgorithm
		extends GeneticAlgorithm<Double> implements Train {

	/**
	 * Get the current best neural network.
	 * @return The current best neural network.
	 */
	public BasicNetwork getNetwork() {
		final NeuralChromosome c = (NeuralChromosome) getChromosome(0);
		c.updateNetwork();
		return c.getNetwork();
	}

	/**
	 * @return The error from the last iteration.
	 */
	public double getError() {
		return this.getChromosome(0).getCost();
	}

}