void UpdateWeights(TrainingSetData.TrainingSetItem t)
{
double error = t.Output - CalculateOutput(t.input);
totalError += Mathf.Abs((float)error);
for (int i = 0; i < weights.Length; i++)
{
weights [i] = weights [i] + error * t.input [i];
}
bias += error;
}
string CalculateOutputResult(TrainingSetData.TrainingSetItem ti)
{
double expected = ti.Output;
var b = new System.Text.StringBuilder();
b.Append("result for ");
for (int i = 0; i < ti.input.Length; i++)
{
b.AppendFormat("{0} ", ti.input [i]);
}
double result = CalculateOutput(ti.input);
b.AppendFormat(": {0}. Expected: {1}", result, expected);
return(b.ToString());
}
