public void make_new_network()
{
FileStream fs = new FileStream("dataset.txt", FileMode.Open);
StreamReader sr = new StreamReader(fs);
//double[][] myData = new double[][];
string[] invector;
string invec;
List <List <double> > our_dat = new List <List <double> >();
List <double> temp;
while (sr.Peek() != -1)
{
temp = new List <double>();
invec = sr.ReadLine();
invector = invec.Split(',');
for (int i = 0; i < invector.Length; i++)
{
temp.Add(Convert.ToDouble(invector[i]));
}
our_dat.Add(temp);
}
AForge.Neuro.ActivationNetwork bus = new AForge.Neuro.ActivationNetwork(new AForge.Neuro.BipolarSigmoidFunction(2), our_dat.Count, 10);
bus.Randomize();
AForge.Neuro.Learning.BackPropagationLearning learn = new AForge.Neuro.Learning.BackPropagationLearning(bus);
learn.LearningRate = 0.4;
}
/// <summary>
/// This method learn NN how to ocr basis on fileds placed in cals fields
/// </summary>
/// <returns>Amount of learning cycles</returns>
public int init()
{
double[][] learningData = CreateLearningMatrix();
double[][] outputs = CreateExpectedResult(learningData);
patterns = learningData.GetLength(0);
AForge.Neuro.ActivationNetwork neuralNet =
new AForge.Neuro.ActivationNetwork(new AForge.Neuro.BipolarSigmoidFunction(0.75), patternSize, patterns, patterns);
// randomize network`s weights
neuralNet.Randomize();
// create network teacher
AForge.Neuro.Learning.BackPropagationLearning teacher = new AForge.Neuro.Learning.BackPropagationLearning(neuralNet);
teacher.Momentum = 0.2f;
teacher.LearningRate = 0.55f;
// teach the network
int i = 0;
Random rand = new Random();
double error;
do
{
//error = teacher.RunEpoch(input, output);
error = teacher.RunEpoch(learningData, outputs);
Console.WriteLine(error);
i++;
}while (error > 0.05);
Network = neuralNet;
return(i);
}
/// <summary>
/// This method is Loading saved and teached NN
/// </summary>
public void LoadSerializedNetwork()
{
try
{
OpenFileDialog openDialog = new OpenFileDialog();
openDialog.Filter = "BIN|*.bin";
openDialog.Title = "Save an bin File";
openDialog.ShowDialog();
// If the file name is not an empty string open it for saving.
if (openDialog.FileName != "")
{
AForge.Neuro.Network NetworkBuf = AForge.Neuro.ActivationNetwork.Load(openDialog.FileName);
Network = (AForge.Neuro.ActivationNetwork)NetworkBuf;
}
}
catch (Exception oException)
{
Console.WriteLine("Aplikacja wygenerowała następujący wyjątek: " + oException.Message);
}
}