/* * Artificial Intelligence for Humans * Volume 2: Nature Inspired Algorithms * Java Version * http://www.aifh.org * http://www.jeffheaton.com * * Code repository: * https://github.com/jeffheaton/aifh * * Copyright 2014 by Jeff Heaton * * 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 com.heatonresearch.aifh.learning; import com.heatonresearch.aifh.evolutionary.codec.GeneticCODEC; import com.heatonresearch.aifh.evolutionary.genome.Genome; import com.heatonresearch.aifh.genetic.genome.DoubleArrayGenome; /** * Created with IntelliJ IDEA. * User: jheaton * Date: 4/21/14 * Time: 5:52 AM * To change this template use File | Settings | File Templates. */ public class RBFNetworkGenomeCODEC implements GeneticCODEC { public int getInputCount() { return inputCount; } private int inputCount; public int getOutputCount() { return outputCount; } public int getRbfCount() { return rbfCount; } public int size() { return size; } private int outputCount; private int rbfCount; private int size; public RBFNetworkGenomeCODEC(int inputCount, int rbfCount, int outputCount) { this.inputCount = inputCount; this.rbfCount = rbfCount; this.outputCount = outputCount; RBFNetwork temp = new RBFNetwork(inputCount, rbfCount, outputCount); this.size = temp.getLongTermMemory().length; } @Override public MLMethod decode(final Genome genome) { RBFNetwork result = new RBFNetwork(inputCount, rbfCount, outputCount); DoubleArrayGenome dag = (DoubleArrayGenome) genome; System.arraycopy(dag.getData(), 0, result.getLongTermMemory(), 0, size); return result; } @Override public Genome encode(final MLMethod phenotype) { RBFNetwork rbfNet = (RBFNetwork) phenotype; DoubleArrayGenome result = new DoubleArrayGenome(size()); System.arraycopy(rbfNet.getLongTermMemory(), 0, result.getData(), 0, size); return result; } }