private void Run()
{
GA ga = new GA();
double[][] input = new double[4][];
input[0] = new double[] { 1, 1 };
input[1] = new double[] { 0, 1 };
input[2] = new double[] { 1, 0 };
input[3] = new double[] { 0, 0 };
double[][] output = new double[4][];
output[0] = new double[] { 0 };
output[1] = new double[] { 1 };
output[2] = new double[] { 1 };
output[3] = new double[] { 0 };
List <NeuralNet> result = ga.DetermineFitness(ga.SpawnGeneration(1000000, 2, 0, 1), input, output);
result = ga.SelectParents(result);
for (int i = 0; i < 2; i++)
{
net = result[i];
PrintOut(0, 1);
PrintOut(1, 0);
PrintOut(0, 0);
PrintOut(1, 1);
}
/* Random random = new Random();
* int seed = 0;
*
* double[][] input = new double[4][];
* input[0] = new double[] { 1, 1 };
* input[1] = new double[] { 0, 1 };
* input[2] = new double[] { 1, 0 };
* input[3] = new double[] { 0, 0 };
*
* double[][] output = new double[4][];
* output[0] = new double[] { 0 };
* output[1] = new double[] { 1 };
* output[2] = new double[] { 1 };
* output[3] = new double[] { 0 };
*
* net.Init(3, 2, 4, 1);
* net.Train(input, output, 7, 8);
*
* PrintOut(0, 1);
* PrintOut(1, 0);
* PrintOut(0, 0);
* PrintOut(1, 1);*/
Console.Read();
}
