private void LearnSession(int bestof)
{
if (bestNet == null)
{
bestNet = new NeuralNet(11, 6, NUM_NEURONS, 1, new Random());
}
bestNet.LearnSession(lessonplan, bestof);
Console.WriteLine("-\t-\t- FINAL -\t-\t-\n\nSUCCESS\t\tACC [MIN " + NeuralNet.ACC_THRESHOLD.ToString("f2") + "]");
Console.WriteLine(bestNet.Test(new float[] { 4, 3, 2, 3, 4, 5 }, new float[] { 0 }));
Console.WriteLine(bestNet.Test(new float[] { 4, 4, 2, 2, 3, 3 }, new float[] { 0 }));
Console.WriteLine(bestNet.Test(new float[] { 9, 9, 9, 9, 9, 9 }, new float[] { 0 }));
Console.WriteLine(bestNet.Test(new float[] { 7, 8, 2, 3, 4, 5 }, new float[] { 1 }));
Console.WriteLine(bestNet.Test(new float[] { 0, 8, 2, 3, 4, 1 }, new float[] { 1 }));
Console.WriteLine(bestNet.Test(new float[] { 5, 3, 2, 0, 9, 1 }, new float[] { 1 }));
Console.WriteLine(bestNet.Test(new float[] { 1, 2, 9, 8, 4, 5 }, new float[] { 1 }));
Console.WriteLine(bestNet.Test(new float[] { 1, 0, 2, 3, 4, 6 }, new float[] { 1 }));
Console.WriteLine(bestNet.Test(new float[] { 8, 7, 7, 8, 8, 7 }, new float[] { 0 }));
Console.WriteLine("\nDone! Type 'help' for commands.\n");
string cmd;
while ((cmd = Console.ReadLine().ToLower()) != "")
{
string[] args = cmd.Split(' ');
Commands(args);
}
}
