/*
* 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;
}
}