public NeuralNetwork(int[] Layer, ActivationStrategy ActivationFunction)
{
Layers = new MLPLayer[Layer.Length - 1];
for (int i = 0; i < Layers.Length; i++)
{
Layers[i] = new MLPLayer();
Layers[i].InitializeLayer(Layer[i], Layer[i + 1], ActivationFunction);
if (i < Layers.Length - 1)
{
this.layerBuild += Layer[i] + "-";
}
else
{
this.layerBuild += Layer[i];
}
}
this.Activation = ActivationFunction;
}
private void CreateNetworkByTxt(string fileName)
{
StreamReader sr;
try
{
sr = new StreamReader(fileName);
}
catch (FileNotFoundException)
{
MessageBox.Show("Nincs ilyen file!");
return;
}
catch (Exception)
{
MessageBox.Show("Ismeretlen hiba");
return;
}
string[] atm = sr.ReadLine().Split(':'); //0-> Layers | 1 -> Activation Function
nn = new NeuralNetwork(getLayersBuild(atm), getActi(atm));
List <MLPLayer> atmLayers = new List <MLPLayer>();
while (!sr.EndOfStream)
{
string[] atm2 = sr.ReadLine().Split(':');
int atmNumberOfInputs = Convert.ToInt32(atm2[0].ToString());
int atmNumberOfOutputs = Convert.ToInt32(atm2[1].ToString());
MLPLayer atmLayer = new MLPLayer();
atmLayer.NumberOfInput = atmNumberOfInputs;
atmLayer.NumberOfOutput = atmNumberOfOutputs;
atmLayer.ActivationStrategy = nn.Activation;
double[] atmOutputs = new double[atmNumberOfOutputs];
atm = sr.ReadLine().Split(':');
for (int i = 0; i < atmOutputs.Length; i++)
{
atmOutputs[i] = Convert.ToDouble(atm[i].ToString());
}
atmLayer.Output = atmOutputs;
double[] atmInputs = new double[atmNumberOfInputs];
atm = sr.ReadLine().Split(':');
for (int i = 0; i < atmInputs.Length; i++)
{
atmInputs[i] = Convert.ToDouble(atm[i].ToString());
}
atmLayer.Input = atmInputs;
double[,] atmWeights = new double[atmNumberOfOutputs, atmNumberOfInputs];
for (int i = 0; i < atmNumberOfOutputs; i++)
{
atm = sr.ReadLine().Split(':');
for (int k = 0; k < atmNumberOfInputs; k++)
{
atmWeights[i, k] = Convert.ToDouble(atm[k].ToString());
}
}
atmLayer.Weights = atmWeights;
//double[,] atmWeightsDelta = new double[atmNumberOfOutputs, atmNumberOfInputs];
//for (int i = 0; i < atmNumberOfOutputs; i++)
//{
// atm = sr.ReadLine().Split(':');
// for (int k = 0; k < atmNumberOfInputs; k++)
// {
// atmWeightsDelta[i, k] = Convert.ToDouble(atm[k].ToString());
// }
//}
//atmLayer.WeightsDelta = atmWeightsDelta;
//double[] atmgamma = new double[atmNumberOfOutputs];
//atm = sr.ReadLine().Split(':');
//for (int i = 0; i < atmOutputs.Length; i++)
//{
// atmgamma[i] = Convert.ToDouble(atm[i].ToString());
//}
//atmLayer.Gamma = atmgamma;
//double[] atmerror = new double[atmNumberOfOutputs];
//atm = sr.ReadLine().Split(':');
//for (int i = 0; i < atmOutputs.Length; i++)
//{
// atmerror[i] = Convert.ToDouble(atm[i].ToString());
//}
//atmLayer.Error = atmerror;
atmLayers.Add(atmLayer);
}
nn.Layers = atmLayers.ToArray();
sr.Close();
//MessageBox.Show("Sikeres");
//MessageBox.Show(nn.Activation.ToString());
}
