public static void Main()
{
//CreateImages();
network.LearningNorm = 0.9;
network.InertialTerm = 1;
for (int i = 0; i < network.LayersCount - 1; i++)
{
for (int j = 0; j < network[i].Length; j++)
{
for (int k = 0; k < network[i + 1].Length; k++)
{
network[i, j].AddNextNeuron(network[i + 1, k], -0.23);
}
}
}
int start = Environment.TickCount;
for (int i = 0; i < COUNT; i++)
{
network.Learning(InputImage(new Bitmap($"Images\\sample{i}.png")), new double[] { 1 });
}
Console.WriteLine("good " + (Environment.TickCount - start) + "ms");
start = Environment.TickCount;
for (int i = COUNT; i < COUNT + BAD_COUNT; i++)
{
network.Learning(InputImage(new Bitmap($"Images\\sample{i}.png")), new double[] { 0 });
}
Console.WriteLine("bad " + (Environment.TickCount - start) + "ms");
Result();
}
static void Main(string[] args)
{
MyActivateFunc = delegate(double value)
{
return(1 / (1 + Math.Exp(-value)));
};
try
{
NetworkREP network = new NetworkREP(new Network.Functions(MyActivateFunc, null, null), 2, 4, 1, 1);
network.LearningNorm = 0.25;
network.InertialTerm = 1;
network[0, 0].AddNextNeuron(network[1, 1], -0.2);
network[0, 0].AddNextNeuron(network[1, 2], -0.1);
network[0, 1].AddNextNeuron(network[1, 1], 0.1);
network[0, 1].AddNextNeuron(network[1, 2], 0.3);
network[1, 0].AddNextNeuron(network[1, 1], 0.1);
network[1, 0].AsOffset();
network[1, 3].AddNextNeuron(network[1, 2], 0.1);
network[1, 3].AsOffset();
network[1, 1].AddNextNeuron(network[3, 0], 0.2);
network[1, 2].AddNextNeuron(network[3, 0], 0.3);
network[2, 0].AddNextNeuron(network[3, 0], 0.2);
network[2, 0].AsOffset();
foreach (double res in network.GetResult(1, 0))
{
Outputter.Log("Ответ: " + res);
}
Console.ReadLine();
Console.WriteLine();
for (int i = 0; i < 10000; i++)
{
network.Learning(new double[] { 0, 1 }, new double[] { 0 });
network.Learning(new double[] { 0, 0 }, new double[] { 0 });
network.Learning(new double[] { 1, 0 }, new double[] { 0 });
network.Learning(new double[] { 1, 1 }, new double[] { 1 });
}
Console.WriteLine("Done.");
Console.ReadLine();
foreach (double res in network.GetResult(1, 0))
{
Outputter.Log("Ответ: " + res);
}
Console.ReadLine();
foreach (double res in network.GetResult(0, 1))
{
Outputter.Log("Ответ: " + res);
}
Console.ReadLine();
foreach (double res in network.GetResult(0, 0))
{
Outputter.Log("Ответ: " + res);
}
Console.ReadLine();
foreach (double res in network.GetResult(1, 1))
{
Outputter.Log("Ответ: " + res);
}
}
catch (Exception ex)
{
Outputter.Error(ex.Message);
}
Console.ReadLine();
}
