static void test(NeuralNetwork nn)
{
data[] datas = new data[4];
datas[0] = new data(new double[] { 1, 1 }, new double[] { 0 });
datas[1] = new data(new double[] { 0, 0 }, new double[] { 0 });
datas[2] = new data(new double[] { 1, 0 }, new double[] { 1 });
datas[3] = new data(new double[] { 0, 1 }, new double[] { 1 });
for (int i = 0; i < 50000; i++)
{
int index = prng.Next(datas.Length);
data data = datas[index];
nn.train(data.inputs, data.targets);
}
while (true)
{
string[] ord = Console.ReadLine().Split();
int value = int.Parse(ord[0]);
int value2 = int.Parse(ord[1]);
double[] inp = { value, value2 };
double[] outPut = nn.guess(inp);
print(outPut);
}
}
