private void learnFromData()
{
int nbError = 1;
int totalErr = 0;
int totalTest = 0;
int count = 0;
int cste = 1;
double w1 = sP.getWeightEntry(0);
double w2 = sP.getWeightEntry(1);
double w3 = sP.getWeightEntry(2);
while (nbError != 0 && ++count < 1000000)
{
nbError = 0;
for (int i = 0; i < data[0].Count; i += 2)
{
totalTest++;
double sA = sP.calculOut(data[0][i], data[0][i + 1], cste);
double sB = sP.calculOut(data[1][i], data[1][i + 1], cste);
if (sA < 1)
{
sP.addWeightEntry(0, data[0][i]);
sP.addWeightEntry(1, data[0][i + 1]);
sP.addWeightEntry(2, cste);
nbError++;
}
if (sB > 0)
{
sP.addWeightEntry(0, -data[1][i]);
sP.addWeightEntry(1, -data[1][i + 1]);
sP.addWeightEntry(2, -cste);
nbError++;
}
}
drawData();
totalErr += nbError;
}
lRes.Text = "\r\nLearning\r\nNb Error : " + totalErr + "/" + totalTest + "\r\nNb iterations : " + count;
lRes.Text += "\r\nW1 = " + w1.ToString(doublePrecision) + " -> " + sP.getWeightEntry(0).ToString(doublePrecision) +
"\r\nW2 = " + w2.ToString(doublePrecision) + " -> " + sP.getWeightEntry(1).ToString(doublePrecision) +
"\r\nW3 = " + w3.ToString(doublePrecision) + " -> " + sP.getWeightEntry(2).ToString(doublePrecision);
double test1 = sP.calculOut(data[0][0], data[0][1], cste);
double test2 = sP.calculOut(data[1][0], data[1][1], cste);
}
