static void Testing()
{
int[] array = { 10, 20, 2 };
string str = File.ReadAllText("TD1.txt");
double[][] vs1 = JsonConvert.DeserializeObject <double[][]>(str);
NNModel model = new NNModel(array);
Console.Beep();
var watch = System.Diagnostics.Stopwatch.StartNew();
BackPropagation backPropagation = new BackPropagation();
backPropagation.Learn(model, vs1);
watch.Stop();
Console.WriteLine(watch.ElapsedMilliseconds);
string str1 = File.ReadAllText("TD2.txt");
double[][] vs2 = JsonConvert.DeserializeObject <double[][]>(str1);
for (int i = 0; i < vs2.Length; i++)
{
model.Compute(NNModel.ReculcArray(vs2[i])).Neurons.ForEach(x =>
{
Console.WriteLine(x.Value + " ");
});
Console.WriteLine();
}
Console.WriteLine("_______");
model.Save();
Console.Beep();
Console.ReadKey();
}
static void TestingOpen()
{
int[] array = { 9, 20, 1 };
NNModel model = NNModel.Open("nnmodel.dat");
string str1 = File.ReadAllText("TD2.txt");
double[][] vs2 = JsonConvert.DeserializeObject <double[][]>(str1);
for (int i = 0; i < vs2.Length; i++)
{
model.Compute(NNModel.ReculcArray(vs2[i])).Neurons.ForEach(x =>
{
Console.WriteLine(x.Value + " ");
});
Console.WriteLine();
}
Console.WriteLine("_______");
Console.ReadKey();
}