/*
* Encog(tm) Core v2.5 - Java Version
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
* Copyright 2008-2010 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.networks.training.propagation.scg;
import org.encog.engine.network.train.prop.TrainFlatNetworkSCG;
import org.encog.neural.data.NeuralDataSet;
import org.encog.neural.networks.BasicNetwork;
import org.encog.neural.networks.training.propagation.Propagation;
/**
* This is a training class that makes use of scaled conjugate gradient methods.
* It is a very fast and efficient training algorithm.
*
*/
public class ScaledConjugateGradient extends Propagation {
/**
* Construct a training class.
*
* @param network
* The network to train.
* @param training
* The training data.
*/
public ScaledConjugateGradient(final BasicNetwork network,
final NeuralDataSet training) {
super(network, training);
final TrainFlatNetworkSCG rpropFlat = new TrainFlatNetworkSCG(network
.getStructure().getFlat(), getTraining());
setFlatTraining(rpropFlat);
}
}