public void Connect(TInputNeuralLayer InputLayer)
{
int num1 = 0;
int num2 = 0;
if (this.IsThreshold)
num1 = 1;
if (InputLayer.IsThreshold)
num2 = 1;
int num3 = Math.Min(this.GetNNeuron() - num1, InputLayer.GetNNeuron() - num2);
for (int i = num1; i < num3; ++i)
this.GetNeuron(i).Connect(InputLayer.GetNeuron(i - num2));
}
public void Connect(TInputNeuralLayer InputLayer)
{
int num1 = 0;
int num2 = 0;
if (this.IsThreshold)
{
num1 = 1;
}
if (InputLayer.IsThreshold)
{
num2 = 1;
}
int num3 = Math.Min(this.GetNNeuron() - num1, InputLayer.GetNNeuron() - num2);
for (int i = num1; i < num3; ++i)
{
this.GetNeuron(i).Connect(InputLayer.GetNeuron(i - num2));
}
}
public TInputNeuralLayer(int NNeuron, bool AddThreshold)
{
if (AddThreshold)
{
this.fNeuron.Add((object)new TThresholdNeuron());
TInputNeuralLayer tinputNeuralLayer = this;
int num = tinputNeuralLayer.fNNeuron + 1;
tinputNeuralLayer.fNNeuron = num;
this.oEXc819xw = true;
}
else
{
this.oEXc819xw = false;
}
for (int index = 0; index < NNeuron; ++index)
{
this.fNeuron.Add((object)new TInputNeuron());
}
TInputNeuralLayer tinputNeuralLayer1 = this;
int num1 = tinputNeuralLayer1.fNNeuron + NNeuron;
tinputNeuralLayer1.fNNeuron = num1;
}
