private void TrainingOnce()
{
for (int a = 0; a < this.Loops; a++)
{
Calculate();
CalculateError();
if (Delta > Constants.MaxError)
{
throw new ConvergenceException("So much error, stop training.");
}
CalculateDelta_Hidden_Output_Coefficient();
CalculateDelta_Input_Hidden_Coefficient();
Hidden_Output_Coefficient_Matrix.add(Hidden_Output_Coefficient_Change_Matrix);
Input_Hiddene_Coefficient_Matrix.add(Input_Hidden_Coefficient_Change_Matrix);
Hidden_Offset_Vector.add(Hidden_Offset_Chang_Vector);
Output_Offset_Vector.add(Output_Offset_Change_Vector);
//if (Delta < Constants.MinError)
// break;
}
Constants.AppendLogBoxAction("Delta = " + Delta);
}
public override void Training(Vector Input_Vector, Vector Template_Vector, int Loops)
{
this.Input_Layer_Vector = Input_Vector;
this.Template_Vector = Template_Vector;
for (int a = 0; a < Loops; a++)
{
Calculate();
CalculateError();
if (Delta > 1000000.0)
{
throw new Exception("So much error, stop training.");
}
CalculateDelta_Hidden_Output_Coefficient();
CalculateDelta_Input_Hidden_Coefficient();
Hidden_Output_Coefficient_Matrix.add(Hidden_Output_Coefficient_Change_Matrix);
Input_Hiddene_Coefficient_Matrix.add(Input_Hidden_Coefficient_Change_Matrix);
Output_Offset_Vector.add(Output_Offset_Change_Vector);
if (Delta < 0.00000001)
{
break;
}
}
}