public ExamingNetworkMaster()
{
Console.WriteLine("Welcome to Examing Network Master");
Console.WriteLine("Now you have to load existing network or create new");
FeedForwardNetwork network = new FeedForwardNetwork();
Console.WriteLine("Do you want to load existing network?");
if (Console.ReadLine() == "Yes")
{
network = FeedForwardNetwork.Load(Console.ReadLine());
}
else
{
network = new FeedForwardNetwork(new BipolarSigmoidFunction(), Environment.TickCount, 1, 7, 1);
Console.WriteLine("New neural network created successfully");
}
BackPropagationLearning teacher = new BackPropagationLearning(network);
teacher.LearningRate = 0.03;
Console.WriteLine("Let's teach it");
Teaching(teacher);
Console.WriteLine("Now it's time to exam this network(:");
Examing(network);
Console.WriteLine("Do you want to save this network?");
if (Console.ReadLine() == "Yes")
{
Console.WriteLine("Enter filename: ");
network.Save(Console.ReadLine());
}
Console.WriteLine("Press enter to exit...");
Console.ReadKey();
}
public void LoadButtonLeftClick()
{
Pacmans = new List <Pacman>();
for (int i = 0; i < Directory.GetFiles(LoadFolder, "pacman*.nnw").Length; i++)
{
Pacmans.Add(new Pacman(new Vector2(R.Next(gameBounds.Width), R.Next(gameBounds.Height))));
Pacmans[Pacmans.Count - 1].Network = FeedForwardNetwork.Load(LoadFolder + "\\pacman" + i.ToString() + ".nnw");
}
Notifications.Push("Loading completed");
}
