private void Work(object sender, DoWorkEventArgs e)
{
int nr_generatii = (int)NumericUpDown.Value;
double eroare_dorita = (double)NumericUpDown_Eroare.Value;
for (int i = 0; i < nr_generatii; i++)
{
Thread.Sleep(2);
if (Worker.CancellationPending)
{
e.Cancel = true;
return;
}
List <double> Rez = new List <double>();
List <double> Targ = new List <double>();
for (int j = 0; j < Inputs.Count(); j++)
{
rs.ForWordPropagation(Inputs[j], Target[j]);
rs.BackPropagation(Target[j]);
List <double> tg_aux = new List <double>(Target[j]);
List <double> rz_aux = new List <double>(rs.Return_Result());
Rez.Add(rz_aux[0]);
Targ.Add(tg_aux[0]);
}
if (i % 25 == 0)
{
AmestecaInputsTargets();
}
BeginInvoke((MethodInvoker) delegate
{
GeneratieValue_label.Text = i.ToString();
EroareValue_Label.Text = $"{Eroare(Rez, Targ).ToString()}";
chart3.Series["Eroare"].Points.AddXY(i, Eroare(Rez, Targ));
if (Eroare(Rez, Targ) < eroare_dorita)
{
Stop.PerformClick();
}
});
}
BeginInvoke((MethodInvoker) delegate
{
rs.ExportXML(SelectedUser_Label.Text);
});
}
private void Testare_Click(object sender, EventArgs e)
{
string user = SelectedUser_Label.Text;
if (user == "Nimeni")
{
return;
}
rs = new ReteaNeuronala(12, 1, nrNeuroni, 1);
string path = $"{Path.GetDirectoryName(Application.ExecutablePath)}\\Weights\\{user}.txt";
bool a = File.Exists(path);
if (File.Exists(path))
{
rs.ImportXML(user);
}
else
{
rs.ExportXML(user);
}
Inputs = new List <List <double> >();
Target = new List <List <double> >();
path = $"{Path.GetDirectoryName(Application.ExecutablePath)}\\TestSet\\{SelectedUser_Label.Text}.txt";
FileStream f = new FileStream(path, FileMode.Open, FileAccess.Read);
List <List <double> > ob = (List <List <double> >)xss.Deserialize(f);
for (int i = 0; i < ob.Count; i++)
{
List <double> aux = new List <double>(ob[i]);
aux.RemoveAt(aux.Count - 1);
Inputs.Add(new List <double>(aux));
aux = new List <double>(ob[i]);
aux.RemoveRange(0, 12);
Target.Add(new List <double>(aux));
}
List <double> Rez = new List <double>();
List <double> Targ = new List <double>();
for (int j = 0; j < Inputs.Count(); j++)
{
rs.ForWordPropagation(Inputs[j], Target[j]);
List <double> tg_aux = new List <double>(Target[j]);
List <double> rz_aux = new List <double>(rs.Return_Result());
Rez.Add(rz_aux[0]);
Targ.Add(tg_aux[0]);
}
Testare_label.Text = Eroarre(Rez, Targ).ToString() + "%";
f.Close();
f.Dispose();
}
private void Learning_Click(object sender, EventArgs e)
{
if (Worker.IsBusy)
{
return;
}
string user = SelectedUser_Label.Text;
if (user == "Nimeni")
{
return;
}
rs = new ReteaNeuronala(12, 1, nrNeuroni, 1);
string path = $"{Path.GetDirectoryName(Application.ExecutablePath)}\\Weights\\{user}.txt";
bool a = File.Exists(path);
if (File.Exists(path))
{
rs.ImportXML(user);
}
else
{
rs.ExportXML(user);
}
Inputs = new List <List <double> >();
Target = new List <List <double> >();
path = $"{Path.GetDirectoryName(Application.ExecutablePath)}\\TrainSet\\{user}.txt";
FileStream f = new FileStream(path, FileMode.Open, FileAccess.Read);
List <List <double> > ob = (List <List <double> >)xss.Deserialize(f);
for (int i = 0; i < ob.Count; i++)
{
List <double> aux = new List <double>(ob[i]);
aux.RemoveAt(aux.Count - 1);
Inputs.Add(new List <double>(aux));
aux = new List <double>(ob[i]);
aux.RemoveRange(0, 12);
Target.Add(new List <double>(aux));
}
if (!Worker.IsBusy)
{
chart3.Series.RemoveAt(0);
chart3.Series.Add("Eroare");
chart3.Series["Eroare"].ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.FastLine;
Worker.RunWorkerAsync();
}
}
private void Identificare_Click(object sender, EventArgs e)
{
listBox2.Items.Clear();
string p = $"{Path.GetDirectoryName(Application.ExecutablePath)}\\TestSample\\ Identificare.wav";
VerificareForm form = new VerificareForm(p, DeviceNumber);
List <NAudio.Wave.WaveInCapabilities> sourse = new List <NAudio.Wave.WaveInCapabilities>();
for (int i = 0; i < NAudio.Wave.WaveIn.DeviceCount; i++)
{
sourse.Add(NAudio.Wave.WaveIn.GetCapabilities(i));
}
if (!(sourse.Count >= DeviceNumber - 1))
{
DeviceNumber = sourse.Count() - 1;
}
form.ShowDialog();
if (!File.Exists(p))
{
MessageBox.Show("Eroare, inregistrarea nu a fost efectuata cu succes");
return;
}
List <List <double> > aux = new List <List <double> >(DoMFCC(p));
re = new List <double>();
st = new List <string>();
foreach (string item in Directory.GetFiles("Users"))
{
FileInfo f = new FileInfo(item);
rs = new ReteaNeuronala(12, 1, nrNeuroni, 1);
if (!File.Exists($"{Path.GetDirectoryName(Application.ExecutablePath)}\\Weights\\{f.Name}.txt"))
{
rs.ExportXML(f.Name);
}
rs.ImportXML(f.Name);
List <List <double> > Rezultate = new List <List <double> >();
for (int i = 0; i < aux.Count; i++)
{
List <double> target = new List <double>();
target.Add(1);
List <double> Inputs = new List <double>(aux[i]);
Rezultate.Add(rs.ForWordPropagation(Inputs, target));
}
List <double> rez = new List <double>();
List <double> targ = new List <double>();
for (int i = 0; i < Rezultate.Count; i++)
{
List <double> au = new List <double>(Rezultate[i]);
double value = au[0];
rez.Add(value);
targ.Add(1);
}
double eroare = Eroarre(rez, targ);
if (Verificare_Label.Text == "NaN%")
{
MessageBox.Show("Inregistrare esuata");
return;
}
else
{
re.Add(eroare);
st.Add(f.Name);
}
}
Sort();
for (int i = 0; i < st.Count; i++)
{
listBox2.Items.Add(st[i] + $"-> {re[i]}%");
}
}
