static void Main(string[] args)
{
Console.SetWindowSize(width, height);
Console.SetBufferSize(width, height + 500);
Design.Headline(Application.ProductName.Replace('_', ' '));
int inputSize = 10;
BaseTrans[] inputs = new BaseTrans[inputSize];
NeuralNetwork nn = new NeuralNetwork();
Random r = new Random();
for (int i = 0; i < inputSize; i++)
{
inputs[i] = new BaseTrans();
inputs[i].Value = r.Next(100);
nn.AddInput(inputs[i]);
}
BaseRec r1 = new BaseRec();
//BaseReciever r2 = new BaseReciever
nn.AddOutput(r1);
nn.AddOutput(r1);
//nn.AddOutput(r2);
//int iterationNum = 10000;
//double sum = 0
nn.Build();
LearningSet ls = nn.GenerateLearningSet();
foreach (BaseTrans input in inputs)
{
ls.GiveInput(input, r.Next(100));
}
ls.ExpectOutput(r1, 100);
nn.Practice(ls);
nn.Activate();
//Console.WriteLine(r1.Value);
//sum += r1.Value;
//Console.WriteLine(r1.Value);
//Console.WriteLine(sum / iterationNum);
//Design.End();
}
