/*
* Artificial Intelligence for Humans
* Volume 1: Fundamental Algorithms
* Java Version
* http://www.aifh.org
* http://www.jeffheaton.com
*
* Code repository:
* https://github.com/jeffheaton/aifh
* Copyright 2013 by Jeff Heaton
*
* 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 com.heatonresearch.aifh.examples.learning;
import com.heatonresearch.aifh.general.data.BasicData;
import com.heatonresearch.aifh.learning.RBFNetwork;
import com.heatonresearch.aifh.learning.TrainGreedyRandom;
import com.heatonresearch.aifh.learning.score.ScoreFunction;
import com.heatonresearch.aifh.learning.score.ScoreRegressionData;
import java.util.List;
/**
* Learn the XOR function with a RBF Network trained by Greedy Random.
*/
public class LearnXOR extends SimpleLearn {
/**
* The input necessary for XOR.
*/
public static final double[][] XOR_INPUT = {{0.0, 0.0}, {1.0, 0.0},
{0.0, 1.0}, {1.0, 1.0}};
/**
* The ideal data necessary for XOR.
*/
public static final double[][] XOR_IDEAL = {{0.0}, {1.0}, {1.0}, {0.0}};
/**
* Perform the example.
*/
public void process() {
final List<BasicData> trainingData = BasicData.convertArrays(XOR_INPUT, XOR_IDEAL);
final RBFNetwork network = new RBFNetwork(2, 5, 1);
final ScoreFunction score = new ScoreRegressionData(trainingData);
final TrainGreedyRandom train = new TrainGreedyRandom(true, network, score);
performIterations(train, 1000000, 0.01, true);
query(network, trainingData);
}
/**
* The main method.
*
* @param args Not used.
*/
public static void main(final String[] args) {
final LearnXOR prg = new LearnXOR();
prg.process();
}
}