/*
* Encog(tm) Unit Tests 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;
import junit.framework.TestCase;
import org.encog.neural.data.NeuralData;
import org.encog.neural.data.NeuralDataPair;
import org.encog.neural.data.NeuralDataSet;
import org.encog.neural.data.basic.BasicNeuralData;
import org.encog.neural.data.basic.BasicNeuralDataSet;
import org.encog.neural.networks.BasicNetwork;
import org.encog.neural.networks.layers.BasicLayer;
public class XOR {
public static double XOR_INPUT[][] = { { 0.0, 0.0 }, { 1.0, 0.0 }, { 0.0, 1.0 },
{ 1.0, 1.0 } };
public static double XOR_IDEAL[][] = { { 0.0 }, { 1.0 }, { 1.0 }, { 0.0 } };
public static boolean verifyXOR(BasicNetwork network,double tolerance)
{
for(int trainingSet=0;trainingSet<XOR.XOR_IDEAL.length;trainingSet++)
{
NeuralData actual = network.compute(new BasicNeuralData(XOR.XOR_INPUT[trainingSet]));
for(int i=0;i<XOR.XOR_IDEAL[0].length;i++)
{
double diff = Math.abs(actual.getData(i)-XOR.XOR_IDEAL[trainingSet][i]);
if( diff>tolerance )
return false;
}
}
return true;
}
public static NeuralDataSet createXORDataSet()
{
return new BasicNeuralDataSet(XOR.XOR_INPUT,XOR.XOR_IDEAL);
}
public static void testXORDataSet(NeuralDataSet set)
{
int row = 0;
for(NeuralDataPair item: set)
{
for(int i=0;i<XOR.XOR_INPUT[0].length;i++)
{
TestCase.assertEquals(item.getInput().getData(i),
XOR.XOR_INPUT[row][i]);
}
for(int i=0;i<XOR.XOR_IDEAL[0].length;i++)
{
TestCase.assertEquals(item.getIdeal().getData(i),
XOR.XOR_IDEAL[row][i]);
}
row++;
}
}
public static BasicNetwork createThreeLayerNet()
{
BasicNetwork network = new BasicNetwork();
network.addLayer(new BasicLayer(2));
network.addLayer(new BasicLayer(3));
network.addLayer(new BasicLayer(1));
network.getStructure().finalizeStructure();
network.reset();
return network;
}
}