NeuralART1.java example

Explorer
VAFusion2-master
/*
 * Encog(tm) Examples v2.4
 * http://www.heatonresearch.com/encog/
 * http://code.google.com/p/encog-java/
 * 
 * Copyright 2008-2010 by Heaton Research Inc.
 * 
 * Released under the LGPL.
 *
 * This is free software; you can redistribute it and/or modify it
 * under the terms of the GNU Lesser General Public License as
 * published by the Free Software Foundation; either version 2.1 of
 * the License, or (at your option) any later version.
 *
 * This software is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
 * Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with this software; if not, write to the Free
 * Software Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
 * 02110-1301 USA, or see the FSF site: http://www.fsf.org.
 * 
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 * http://www.heatonresearch.com/copyright.html
 */

package org.encog.examples.neural.art.art1;

import org.encog.neural.data.bipolar.BiPolarNeuralData;
import org.encog.neural.networks.BasicNetwork;
import org.encog.neural.networks.logic.ART1Logic;
import org.encog.neural.pattern.ART1Pattern;

public class NeuralART1 {
	
	public static final int INPUT_NEURONS = 5;
	public static final int OUTPUT_NEURONS = 10;

	public static final String[] PATTERN = { 
			"   O ",
            "  O O",
            "    O",
            "  O O",
            "    O",
            "  O O",
            "    O",
            " OO O",
            " OO  ",
            " OO O",
            " OO  ",
            "OOO  ",
            "OO   ",
            "O    ",
            "OO   ",
            "OOO  ",
            "OOOO ",
            "OOOOO",
            "O    ",
            " O   ",
            "  O  ",
            "   O ",
            "    O",
            "  O O",
            " OO O",
            " OO  ",
            "OOO  ",
            "OO   ",
            "OOOO ",
            "OOOOO"  };
	
	private boolean[][] input;

	public void setupInput() {
		this.input = new boolean[PATTERN.length][INPUT_NEURONS];
		for (int n = 0; n < PATTERN.length; n++) {
			for (int i = 0; i < INPUT_NEURONS; i++) {
				this.input[n][i] = (PATTERN[n].charAt(i) == 'O');
			}
		}
	}

	public void run() {
		this.setupInput();
		ART1Pattern pattern = new ART1Pattern();
		pattern.setInputNeurons(INPUT_NEURONS);
		pattern.setOutputNeurons(OUTPUT_NEURONS);
		BasicNetwork network = pattern.generate();
		ART1Logic logic = (ART1Logic) network.getLogic();

		for (int i = 0; i < PATTERN.length; i++) {
			BiPolarNeuralData in = new BiPolarNeuralData(this.input[i]);
			BiPolarNeuralData out = new BiPolarNeuralData(OUTPUT_NEURONS);
			logic.compute(in, out);
			if (logic.hasWinner()) {
				System.out.println(PATTERN[i] + " - " + logic.getWinner());
			} else {
				System.out.println(PATTERN[i]
						+ " - new Input and all Classes exhausted");
			}
		}
	}

	public static void main(String[] args) {
		NeuralART1 art = new NeuralART1();
		art.run();
	}
}