/* * 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); } }