nntest.java

著名的开源仿真软件yale

/*
 *  YALE - Yet Another Learning Environment
 *  Copyright (C) 2002, 2003
 *      Simon Fischer, Ralf Klinkenberg, Ingo Mierswa, 
 *          Katharina Morik, Oliver Ritthoff
 *      Artificial Intelligence Unit
 *      Computer Science Department
 *      University of Dortmund
 *      44221 Dortmund,  Germany
 *  email: [e-mail]
 *  web:   http://yale.cs.uni-dortmund.de/
 *
 *  This program is free software; you can redistribute it and/or
 *  modify it under the terms of the GNU General Public License as 
 *  published by the Free Software Foundation; either version 2 of the
 *  License, or (at your option) any later version. 
 *
 *  This program 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
 *  General Public License for more details.
 *
 *  You should have received a copy of the GNU General Public License
 *  along with this program; if not, write to the Free Software
 *  Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307
 *  USA.
 */
package edu.udo.cs.yale.operator.learner.nn;

public class NNTest {

    private static java.util.Random r = new java.util.Random();

    public static double[] generate(int n) {
	double[] d = new double[n];
	d[0] = 1;
	for (int i = 1; i < n; i++) 
	    d[i] = r.nextDouble()*2 - 1;
	return d;
    }

    public static String toString(double[] d) {
	String str = "[";
	for (int i = 0; i < d.length; i++)
	    str += (i==0?"":", ")+(float)d[i];
	return str + "]";
    }


    public static void main(String[] argv) {
	NeuralNet nn = new NeuralNet(4, 5, 2, 0.05);
	System.out.println(nn);

	for (int i = 0 ; i < 100; i++) {
	    double[] s = generate(4);
  	    double[] t = new double[] { 
  		s[1] + 2*s[2]+5,
  		s[2] - 2*s[3]
  	    };
//  	    double[] t = new double[] {
//  		((s[1] + 2*s[2]+5 > 3) ? 1 : 0),
//  		((s[2] + s[3] > 1) ? 1 : 0)
//  	    };
	    System.out.print(toString(s) + " = " + toString(t) + "  ");
	    System.out.println(toString(nn.o(s)));
	    nn.learn(s, t);
	}
	System.out.println(nn);
    }
}