public void Train(double expectedOutput, double learningRate)
{
//var input = inputFunction.CalculateInput(Inputs);
var output = CalculateOutput();
//error = expectedOutput - output;
var error = CalculateError(output, expectedOutput);
var slope = activationFunction.CalculateSlope(output);
//adjustment = (error * slope) * learningrate
var adjustment = CalculateAdjustment(error, slope, learningRate);
//UpdateWeightsAndBiases(input);
for (int i = 0; i < Inputs.Count; i++)
{
Inputs[i].UpdateWeight(adjustment);
}
var newOutput = CalculateOutput();
IsCorrect = expectedOutput == Math.Round(output);
}
