private static void TestHardcodedXOR()
{
NeatLib.Ann ann = new NeatLib.Ann(2, 1, NeatLib.ActivationFunction.Sigmoid);
ann.hiddenNeurons.Add(new NeatLib.Neuron(0, 0)
{
Bias = -10
});
ann.hiddenNeurons.Add(new NeatLib.Neuron(0, 1)
{
Bias = 30
});
ann.outputNeurons[0].Bias = -30;
ann.synapses.Add(new NeatLib.Synapse(-1, 0, 0, 0)
{
Weight = 20
});
ann.synapses.Add(new NeatLib.Synapse(-1, 1, 0, 0)
{
Weight = 20
});
ann.synapses.Add(new NeatLib.Synapse(-1, 0, 0, 1)
{
Weight = -20
});
ann.synapses.Add(new NeatLib.Synapse(-1, 1, 0, 1)
{
Weight = -20
});
ann.synapses.Add(new NeatLib.Synapse(0, 0, -2, 0)
{
Weight = 20
});
ann.synapses.Add(new NeatLib.Synapse(0, 1, -2, 0)
{
Weight = 20
});
double xor00 = Math.Round(ann.Execute(new double[] { 0, 0 })[0], 2);
double xor01 = Math.Round(ann.Execute(new double[] { 0, 1 })[0], 2);
double xor10 = Math.Round(ann.Execute(new double[] { 1, 0 })[0], 2);
double xor11 = Math.Round(ann.Execute(new double[] { 1, 1 })[0], 2);
Console.ForegroundColor = ConsoleColor.Gray;
Console.Write("XOR 0 + 0 = ");
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine(xor00);
Console.ForegroundColor = ConsoleColor.Gray;
Console.Write("XOR 0 + 1 = ");
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine(xor01);
Console.ForegroundColor = ConsoleColor.Gray;
Console.Write("XOR 1 + 0 = ");
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine(xor10);
Console.ForegroundColor = ConsoleColor.Gray;
Console.Write("XOR 1 + 1 = ");
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine(xor11);
if (xor00 == 0 && xor01 == 1 && xor10 == 1 && xor11 == 0)
{
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine("Hardcoded neural network succesfully calculated XOR logic.");
}
else
{
Console.ForegroundColor = ConsoleColor.Red;
Console.WriteLine("Hardcoded neural network unsuccesfully calculated XOR logic.");
}
Console.ForegroundColor = ConsoleColor.Gray;
Console.WriteLine();
}
