Removed some cruft; iterates until absolute error is <= 0.05

ffnetwork.cpp

@@ -5,10 +5,6 @@
 #include <cmath>
 using namespace std;
 
-#include <QDebug>
-#include <QFile>
-#include <QTextStream>
-
 #include "ffnetwork.h"
 
 /**
@@ -46,9 +42,6 @@ FFNetwork::FFNetwork(QObject *parent, vector<unsigned int> _layers) :
 
         delta[i-1] = new double[layers[i]];
     }
-    file = new QFile("weights.csv");
-    file->open(QIODevice::WriteOnly | QIODevice::Text);
-    row = 0;
 }
 
 void FFNetwork::fillRandomWeights()
@@ -75,10 +68,7 @@ vector<double> FFNetwork::processInput(vector<double> input)
         neuronVals[0][i] = input[i];
     }
 
-    QTextStream out(file);
-
     double sum;
-    //out << row++ << ",";
     for(unsigned int i = 1; i < layers.size(); i++)
     {
         // for each neuron in layer
@@ -89,19 +79,16 @@ vector<double> FFNetwork::processInput(vector<double> input)
             // find sum with weights (ignore bias when counting with w)
             for(unsigned int w = 0; w < layers[i-1]; w++)
             {
-                //out << weights[i-1][j*(layers[i-1]+1)+w] << ",";
                 sum += neuronVals[i-1][w] * weights[i-1][j*(layers[i-1]+1)+w];
             }
 
             // add bias
             sum += weights[i-1][j*(layers[i-1]+1) + layers[i-1]];
-            //out << weights[i-1][j*(layers[i-1]+1) + layers[i-1]] << ",";
 
             // set neuron's final value
             neuronVals[i][j] = sigmoid(sum);
         }
     }
-    //out << "\n";
 
     // determine final output
     vector<double> output(layers[layers.size()-1]);

ffnetwork.h

@@ -4,7 +4,6 @@
 #include <vector>
 
 #include <QObject>
-#include <QFile>
 
 class FFNetwork : public QObject
 {
@@ -24,11 +23,8 @@ public slots:
     double **weights;
     double **neuronVals;
     double **delta;
-    QFile *file;
-    int row;
 
     double sigmoid(double x);
-    int activationFunc(double x);
 };
 
 #endif // FFNETWORK_H

main.cpp

@@ -1,6 +1,7 @@
 #include <vector>
 #include <cstdlib>
 #include <ctime>
+#include <cmath>
 
 #include <QDebug>
 #include <QtGui/QApplication>
@@ -44,15 +45,19 @@ int main(int argc, char *argv[])
     }
 
     std::vector<double> output;
-    int total = 0;
-    int correct = 0;
+
     unsigned int *ordering = new unsigned int[inputs.size()];
-    unsigned int ordered = 0;
+    unsigned int ordered;
     unsigned int index;
+    unsigned int epoch = 0;
+    double error;
     bool seen;
     qsrand(std::time(NULL));
-    for(unsigned int epoch = 0; epoch < 100000; epoch++)
+    while(true)
     {
+        epoch++;
+        error = 0.0;
+        ordered = 0;
         while(ordered < inputs.size())
         {
             index = qrand() % inputs.size();
@@ -71,16 +76,15 @@ int main(int argc, char *argv[])
             {
                 ordering[ordered++] = index;
                 output = network.processInput(inputs[index]);
-                if(activationFunc(output[0]) == (int)(expected[index][0])) correct++;
+                error += std::fabs(output[0] - expected[index][0]);
                 network.backprop(output, expected[index]);
-                total++;
             }
         }
-        ordered = 0;
+        if(error/double(inputs.size()) <= 0.05) break;
     }
     delete[] ordering;
 
-    qDebug() << QString("%1/%2 = %3").arg(correct).arg(total).arg(double(correct)/double(total), 5, 'f', 3);
+    qDebug() << QString("# of epochs: %1").arg(epoch);
 
     //QApplication app(argc, argv);
     //MainWindow w;