public void AdjustErrors(Neuron outputNeuron)
{
for (int i = 0; i < _neuronCount; i++)
{
Neurons[i].Error = Sigmoid.Derivative(Neurons[i].Output()) * outputNeuron.Error * outputNeuron.Weights[i];
}
}
public void AdjustErrorsBasedOnExpectResult(double[] result)
{
for (int i = 0; i < _neuronCount; i++)
{
var output = Neurons[i].Output();
var globalError = Sigmoid.Derivative(output) * (output - result[i]);
Neurons[i].Error = globalError;
}
}
public double Output()
{
double wi = _biasWeight;
for (int i = 0; i < _inputCount; i++)
{
wi += Weights[i] * Inputs[i];
}
return(Sigmoid.Output(wi));
}
