/*

* mlp-java, Copyright (C) 2012 Davide Gessa

*

* 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, see <http://www.gnu.org/licenses/>.

*/

package multilayersperceptronlib.test;

import multilayersperceptronlib.MultiLayerPerceptron;

import multilayersperceptronlib.transferfunctions.SigmoidalTransfer;

public class SinTest

{

/**

* @param args

*/

public static void main(String[] args)

{

int[] layers = new int[]{ 1, 3, 1 };

MultiLayerPerceptron net = new MultiLayerPerceptron(layers, 0.6, new SigmoidalTransfer());

/* Learning */

for(int i = 0; i < 10000; i++)

{

double[] inputs = new double[]{Math.random()*4};

double[] output = new double[]{Math.sin(inputs[0])};

double error;

System.out.println("sin("+inputs[0]+") = "+output[0]);

error = net.backPropagate(inputs, output);

System.out.println("Error at step "+i+" is "+error);

}

System.out.println("Learning completed!");

/* Test */

double[] inputs = new double[]{Math.random()*4};

double[] output = net.execute(inputs);

System.out.println("sin("+inputs[0]+") = "+output[0]+" (real is "+Math.sin(inputs[0])+")");

}

}