public NeuralLayer(String initiateFileName)
{
string directory = Path.GetDirectoryName(Assembly.GetEntryAssembly().Location);
string filePath = Path.Combine(directory, initiateFileName);
if (!File.Exists(filePath))
{
using (StreamWriter writetext = new StreamWriter(initiateFileName))
{
for (int i = 0; i < neuronNum; i++)
{
mainLayer[i] = new CasificationNeuron();
writetext.WriteLine(mainLayer[i].generateWeightView());
}
}
}
else
{
using (StreamReader readtext = new StreamReader(initiateFileName))
{
for (int i = 0; i < neuronNum; i++)
{
string [] readMeText = readtext.ReadLine().Split(',');
double[] sendToNeuron = new Double [Worker.parameters];
for (int j = 0; j < Worker.parameters; j++)
{
sendToNeuron[j] = Double.Parse(readMeText[j]);
}
mainLayer[i] = new CasificationNeuron(sendToNeuron);
}
}
}
}
protected override void saveProgres()
{
using (StreamWriter writetext = new StreamWriter("supervisedNeuralBrain.txt"))
{
for (int i = 0; i < neuronNum; i++)
{
mainLayer[i] = new CasificationNeuron();
writetext.WriteLine(mainLayer[i].generateWeightView());
}
}
}