private void BackPropogation_TrainingSession(NeuralNet neuralNet, double[] input, double[] expected, double learningrate)
{
PreparePerceptionLayerForPulse(neuralNet, input);
neuralNet.Pulse();
CalculateErrors(neuralNet, expected);
AdjuestNet(neuralNet, learningrate, expected);
}
private bool PrintOut(double input1, double input2)
{
bool result;
net.inputLayer.neurons[0].SetOutput(input1);
net.inputLayer.neurons[1].SetOutput(input2);
net.Pulse();
result = net.outputLayer.neurons[0].GetOutput() > .5;
Console.WriteLine("Input 1 / 2: " + input1 + " " + input2);
Console.WriteLine("The actual result: " + result.ToString());
Console.WriteLine(net.outputLayer.neurons[0].GetOutput() + " % ");
return(result);
}
