/*
* Encog(tm) Core v3.0 - Java Version
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
* Copyright 2008-2011 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.ml.factory.method;
import java.util.List;
import org.encog.EncogError;
import org.encog.ml.MLMethod;
import org.encog.ml.factory.parse.ArchitectureLayer;
import org.encog.ml.factory.parse.ArchitectureParse;
import org.encog.neural.pattern.SOMPattern;
/**
* A factory that is used to produce self-organizing maps.
*/
public class SOMFactory {
/**
* Create a SOM.
* @param architecture The architecture string.
* @param input The input count.
* @param output The output count.
* @return The newly created SOM.
*/
public final MLMethod create(final String architecture, final int input,
final int output) {
final List<String> layers = ArchitectureParse.parseLayers(architecture);
if (layers.size() != 2) {
throw new EncogError(
"SOM's must have exactly two elements, separated by ->.");
}
final ArchitectureLayer inputLayer = ArchitectureParse.parseLayer(
layers.get(0), input);
final ArchitectureLayer outputLayer = ArchitectureParse.parseLayer(
layers.get(1), output);
final int inputCount = inputLayer.getCount();
final int outputCount = outputLayer.getCount();
final SOMPattern pattern = new SOMPattern();
pattern.setInputNeurons(inputCount);
pattern.setOutputNeurons(outputCount);
return pattern.generate();
}
}