public bool intersectsRect(Rect r)
{
if ((r.Pos.X >= Pos.X && r.Pos.X <= Pos.X + Size.X && r.Pos.Y >= Pos.Y && r.Pos.Y <= Pos.Y + Size.Y) || (r.Pos.X + r.Size.X >= Pos.X && r.Pos.X + r.Size.X <= Pos.X + Size.X && r.Pos.Y >= Pos.Y && r.Pos.Y <= Pos.Y + Size.Y) || (r.Pos.X + r.Size.X >= Pos.X && r.Pos.X + r.Size.X <= Pos.X + Size.X && r.Pos.Y + r.Size.Y >= Pos.Y && r.Pos.Y + r.Size.Y <= Pos.Y + Size.Y) || (r.Pos.X >= Pos.X && r.Pos.X <= Pos.X + Size.X && r.Pos.Y + r.Size.Y >= Pos.Y && r.Pos.Y + r.Size.Y <= Pos.Y + Size.Y))
{
return true;
}
return false;
}
public static bool drawRect(Rect rect, ConsoleColor color)
{
return drawRect(rect.Pos, rect.Size, color);
}
public void start()
{
Console.Title = "SmartAI";
//Console.WriteLine("ProjectAI Starting..."); //disabling for now, in way of drawing
rand = new Random(DateTime.Now.Millisecond+DateTime.Now.Second);
Rect rec = new Rect(new Vec2(3, 4), new Vec2(25, 5));
/* paintutils.setDrawingChar('\\');
paintutils.drawLine(rec.Pos.X, rec.Pos.Y, rec.Pos.X + rec.Size.X, rec.Pos.Y + rec.Size.Y, ConsoleColor.Blue);
paintutils.setDrawingChar('/');
paintutils.drawLine(rec.Pos.X + rec.Size.X, rec.Pos.Y, rec.Pos.X, rec.Pos.Y + rec.Size.Y, ConsoleColor.Blue);*/
PaintUtils.resetDrawingChar();
/*PaintUtils.drawRect(rec, ConsoleColor.Blue);
PaintUtils.setDrawingChar('o');
for (int i = 0; i < 60; i++)
{
Vec2 point = new Vec2(rand.Next(1, 30), rand.Next(1, 20));
if (rec.containsPoint(point))
{
PaintUtils.drawPixel(point, ConsoleColor.Green);
}
else
{
PaintUtils.drawPixel(point, ConsoleColor.Red);
}
}
Console.SetCursorPosition(1, 18);
Console.WriteLine(" -- Green = in rect");
Console.WriteLine(" -- Red = outside rect");
*/
Notification.Notify("Start.", "Starting Program.");
PaintUtils.Clear();
double[][] trainData = new double[4][];
trainData[0] = new double[] { 1, 1, 0, 1 }; //lol, xor for testing! :D
trainData[1] = new double[] { 1, 0, 1, 0 };
trainData[2] = new double[] { 0, 1, 1, 0 };
trainData[3] = new double[] { 0, 0, 0, 1 };
Console.WriteLine("Starting..");
const int numInput = 2;
const int numHidden = 8;
const int numOutput = 2;
NeuralNetwork nn = new NeuralNetwork(numInput, numHidden, numOutput);
int popSize = 50;
int maxGeneration = 900;
double exitError = 0.0;
double mutateRate = 0.20;
double mutateChange = 0.01;
double tau = 0.40;
Console.WriteLine("\nBeginning training");
double[] bestWeights = nn.Train(trainData, popSize, maxGeneration, exitError,
mutateRate, mutateChange, tau);
Console.WriteLine("Training complete");
nn.SetWeights(bestWeights);
double trainAcc = nn.Accuracy(trainData);
Console.Write("\nAccuracy on training data = ");
Console.WriteLine(trainAcc.ToString("F4"));
Console.WriteLine("__________TESTING STAGE__________");
while (true)
{
Console.WriteLine("Enter values for testing (XOR): ");
Console.WriteLine("A?");
string A = Console.ReadLine();
if (A.Length < 1)
{
break;
}
Console.WriteLine("B?");
string B = Console.ReadLine();
if (B.Length < 1)
{
break;
}
Console.WriteLine("ANSWER: " + (nn.ComputeOutputs(new double[] { double.Parse(A), double.Parse(B) })[0]>0.5));
Console.WriteLine("----------------------------------");
}
PaintUtils.Clear();
Notification.Notify("Program Ended.", "The program will now exit.");
}
