// Train Network
private void button2_Click(object sender, EventArgs e)
{
if (nn3SO == null)
{
errorForm = new ErrorForm();
errorForm.setError("Kein Netz gefunden");
errorForm.Visible = true;
}
else
{
targets = new double[onodes];
string target;
bool error = false;
if (checkBox1.Checked)
{
for (int i = 0; i < onodes; i++)
{
if (dataGridView1.Rows[i].Cells[6].Value != null)
{
target = dataGridView1.Rows[i].Cells[6].Value.ToString();
targets[i] = Convert.ToDouble(target);
// Console.WriteLine("input : " + targets[i]);
}
else
{
error = true;
}
}
readInputs();
if (error == false)
{
nn3SO.train(inputs, targets);
displayResults();
}
else
{
errorForm = new ErrorForm();
errorForm.setError("Keine Targets gefunden");
errorForm.Visible = true;
}
}
else
{
if (Properties.Settings.Default.ReadAsync == true)
{
//Console.WriteLine("Async");
_ = ProcessReadAsync(true);
}
else
{
for (int i = 0; i < (int)numericUpDown1.Value; i++)
{
readData(true);
displayResults();
}
}
}
}
}
// Query Network
private void button3_Click(object sender, EventArgs e)
{
if (nn3SO == null)
{
errorForm = new ErrorForm();
errorForm.setError("Kein Netz gefunden");
errorForm.Visible = true;
}
else
{
if (checkBox1.Checked)
{
if (checkBox3.Checked)
{
zeichnen.queryZeichnung();
if (zeichnen.Input != null)
{
if (zeichnen.CheckColor == true)
{
int target = readInputs(zeichnen.Input, true);
for (int i = 0; i < onodes; i++)
{
targets[i] = 0.01;
}
targets[target] = 0.99;
nn3SO.queryNN(inputs);
displayResults();
performance(target);
zeichnen.CheckColor = false;
}
else
{
errorForm = new ErrorForm();
errorForm.setError("Es wurde kein Zeichen im Zeichenfeld gefunden!");
errorForm.Visible = true;
}
}
else
{
errorForm = new ErrorForm();
errorForm.setError("Kein Bild gefunden!");
errorForm.Visible = true;
}
}
else
{
readInputs();
nn3SO.queryNN(inputs);
displayResults();
}
anzahlquery++;
}
else
{
readData(false);
}
}
}
private async Task ProcessReadAsync(bool train)
{
if (File != null)
{
for (int n = 0; n < (int)numericUpDown1.Value; n++)
{
StreamReader sr = new StreamReader(File);
string line;
int intTarget;
progressBar1.Maximum = System.IO.File.ReadAllLines(File).Length;
// Console.WriteLine(System.IO.File.ReadAllLines(File).Length);
progressBar1.Visible = true;
progressBar1.Step = 1;
progressBar1.Value = 0;
int uj = 0;
while ((line = await sr.ReadLineAsync()) != null && (line != ""))
{
//Console.WriteLine(uj);
uj++;
//Console.WriteLine(line);
intTarget = readInputs(line, false);
for (int i = 0; i < onodes; i++)
{
targets[i] = 0.01;
}
targets[intTarget] = 0.99;
if (train == true)
{
nn3SO.train(inputs, targets);
displayResults();
}
else
{
nn3SO.queryNN(inputs);
displayResults();
}
if (checkBox2.Checked)
{
MessageBox.Show("Next");
}
progressBar1.PerformStep();
}
progressBar1.Visible = false;
progressBar1.Value = 0;
}
}
else
{
errorForm = new ErrorForm();
errorForm.setError("Keine Daten vorhanden!");
errorForm.Visible = true;
}
}
private void weightMatritzenToolStripMenuItem_Click(object sender, EventArgs e)
{
if (nn3SO != null)
{
weightForm = new WeightMatrForm();
weightForm.viewMatr(nn3SO.WIH, nn3SO.WHO, nn3SO.WeightList);
weightForm.Visible = true;
}
else
{
errorForm = new ErrorForm();
errorForm.setError("Kein Netz gefunden");
errorForm.Visible = true;
}
}
private void readMatrData()
{
if (matrFile != null)
{
StreamReader sr = new StreamReader(matrFile);
string line;
List <string> inputlist = new List <string>();
int i, j;
double[,] matrix;
progressBar1.Maximum = System.IO.File.ReadAllLines(matrFile).Length;
// Console.WriteLine(System.IO.File.ReadAllLines(matrFile).Length);
progressBar1.Visible = true;
progressBar1.Step = 1;
progressBar1.Value = 0;
while ((line = sr.ReadLine()) != null && (line != ""))
{
string[] input;
input = line.Split('.');
for (i = 0; i < input.Length; i++)
{
//Console.WriteLine(input[i]);
inputlist.Add(input[i]);
}
progressBar1.PerformStep();
}
if (inputlist[0].Equals("Neuronales Netz von Arne Brandt: Matritzen"))
{
hiddenLayers = Convert.ToInt32(inputlist[1]);
// Console.WriteLine("hidden " + hiddenLayers);
hnodes = Convert.ToInt32(inputlist[2]);
// Console.WriteLine("hnodes " + hnodes);
inodes = Convert.ToInt32(inputlist[3]);
onodes = Convert.ToInt32(inputlist[4]);
createNetwork();
// Console.WriteLine("count " + inputlist.Count());
targets = new double[onodes];
int z = 6;
progressBar1.Maximum = hnodes * inodes;
progressBar1.Value = 0;
for (i = 0; i < hnodes; i++)
{
for (j = 0; j < inodes; j++)
{
nn3SO.WIH[i, j] = Convert.ToDouble(inputlist[z]);
z++;
progressBar1.PerformStep();
}
}
progressBar1.Maximum = onodes * hnodes;
progressBar1.Value = 0;
for (i = 0; i < onodes; i++)
{
for (j = 0; j < hnodes; j++)
{
nn3SO.WHO[i, j] = Convert.ToDouble(inputlist[z]);
z++;
progressBar1.PerformStep();
}
}
progressBar1.Value = 0;
if (hiddenLayers != 0)
{
nn3SO.WeightList.Clear();
progressBar1.Maximum = hnodes * hnodes * hiddenLayers;
}
else
{
progressBar1.Maximum = hnodes * hnodes;
}
for (int k = 0; k < hiddenLayers; k++)
{
matrix = new double[hnodes, hnodes];
for (i = 0; i < hnodes; i++)
{
for (j = 0; j < hnodes; j++)
{
matrix[i, j] = Convert.ToDouble(inputlist[z]);
z++;
progressBar1.PerformStep();
}
}
nn3SO.WeightList.Add(matrix);
}
progressBar1.Value = 0;
progressBar1.Visible = false;
}
else
{
progressBar1.Value = 0;
progressBar1.Visible = false;
errorForm = new ErrorForm();
errorForm.setError("Die ausgewählte Datei hat ein falsches Format!");
errorForm.Visible = true;
}
}
}
