/*
* Encog(tm) Core Unit Tests 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
*
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* 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
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package org.encog.neural.networks.logic;
import junit.framework.TestCase;
import org.encog.ml.data.MLDataSet;
import org.encog.ml.data.basic.BasicMLDataSet;
import org.encog.ml.train.MLTrain;
import org.encog.neural.networks.BasicNetwork;
import org.encog.neural.networks.NetworkUtil;
import org.encog.neural.networks.XOR;
import org.encog.neural.networks.training.simple.TrainAdaline;
import org.encog.neural.pattern.ADALINEPattern;
public class TestADALINE extends TestCase {
public void testAdalineNet() throws Throwable
{
ADALINEPattern pattern = new ADALINEPattern();
pattern.setInputNeurons(2);
pattern.setOutputNeurons(1);
BasicNetwork network = (BasicNetwork)pattern.generate();
// train it
MLDataSet training = new BasicMLDataSet(XOR.XOR_INPUT,XOR.XOR_IDEAL);
MLTrain train = new TrainAdaline(network,training,0.01);
NetworkUtil.testTraining(train,0.01);
}
}