public NeuronManager(string Input, Fce fce)
{
function = fce;
NeuronLayers = new List <double[]>();
int[] values = Input.Split('-').Select(x => Convert.ToInt32(x)).ToArray();
for (int i = 0; i < values.Count(); i++)
{
double[] Layer = new double[values[i]];
NeuronLayers.Add(Layer);
}
#region tested
//Weight = new List<double>();
//Weight.Add(0.15);
//Weight.Add(0.20);
//Weight.Add(0.35);
//Weight.Add(0.25);
//Weight.Add(0.30);
//Weight.Add(0.35);
//Weight.Add(0.4);
//Weight.Add(0.45);
//Weight.Add(0.6);
//Weight.Add(0.50);
//Weight.Add(0.55);
//Weight.Add(0.6);
#endregion
}
public double[] GetValues(double[] In)
{
function = Fce.Logistic;
List <double> result = new List <double>();
NeuronLayers[0] = In;
GetError();
foreach (var item in NeuronLayers.Last())
{
result.Add(item);
}
return(result.ToArray());
}
public static double Binary(this double value, Fce function)
{
switch (function)
{
case Fce.Binary:
{
return(value > 0 ? 1 : 0);
}
case Fce.Logistic:
{
return(1 / (1 + Math.Pow(Math.E, -value)));
}
default:
return(value);
}
}
public void TestData(List <double[]> I)
{
function = Fce.Binary;
for (int x = 0; x < I.Count; x++)
{
NeuronLayers[0] = I[x];
GetError();
string result = "InPut:\t";
foreach (var item in I[x])
{
result += item + " ";
}
string result2 = "Calculate:";
foreach (var item in NeuronLayers.Last())
{
result2 += item + " ";
}
Console.WriteLine("{0} {1}", result, result2);
}
function = Fce.Logistic;
}
