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Removed old code.
author revcompgeek
date Tue, 06 May 2008 22:20:26 -0600
parents 9655c8362b25
children
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9655c8362b25 Added the Perceptron class and the perceptron_test testing program.
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1 module perceptron_test;
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2
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3 import aid.nn.perceptron;
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4 import std.stdio;
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5 import std.string;
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6 import std.conv;
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7 import std.math;
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8
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9 void main(char[][] args){
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10 perceptron nn;
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11 double[][] inputs = [[ 0, 0],
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12 [ 0, 1],
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13 [ 1, 0],
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14 [ 1, 1]];
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15 double[] outputs = [ 0, 0, 0, 1];
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16 double learningRate = 0.3;
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17 int numReps = 20;
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18
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19 if(args.length > 1) learningRate = toDouble(args[1]);
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20 if(args.length > 2) numReps = toInt(args[2]);
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21
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22 nn = new perceptron(2,learningRate,true,null);
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23
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24 int iter = 0;
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25 double[] weights;
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26 double t,difference;
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27 while(iter <= numReps){
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28 weights=nn.getWeights();
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29 writefln("[ %f, %f, %f ]",weights[0],weights[1],weights[2]);
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30 //Evaluate
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31 for(int i = 0; i < 4; i++){
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32 t = nn.evaluate(inputs[i]);
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33 writefln(" D: %f %f",t,outputs[i]);
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34 difference = abs(t-outputs[i]);
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35 }
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36 writefln("%d: Total Difference: %f",iter,difference);
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37 // End evaluate
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38
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39 // Train
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40 for(int i = 0; i < 4; i++){
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41 nn.train(inputs[i],outputs[i]);
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42 }
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43 writefln("%d: Error Value: %f",iter,nn.getErrorValue(inputs,outputs));
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44 writefln();
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45
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46 iter++;
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47 //if(iter > 20) break;
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48 }
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49 weights=nn.getWeights();
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50 writefln("[ %f, %f, %f ]",weights[0],weights[1],weights[2]);
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51 }