private void btnMuatFiturTesting_Click(object sender, EventArgs e)
{
var openfile = Tmp.OpenFileDialog("Muat Fitur Datasets", "Feature");
var dialogResult = openfile.ShowDialog();
_listFiturUji = new List <double[]>();
_listKelasUji = new List <double>();
if (dialogResult == DialogResult.OK)
{
foreach (String file in openfile.FileNames)
{
var filecsv = File.ReadAllLines(file);
foreach (var row in filecsv)
{
var temp = Array.ConvertAll(row.Split(';'), double.Parse);
var temp1 = temp.Last();
_listFiturUji.Add(temp.Take(temp.Count() - 1).ToArray());
_listKelasUji.Add(temp1 + 1);
}
}
_arrayFiturUji = new double[_listFiturUji.Count, _listFiturUji[0].Length];
_arrayKelasUji = new double[_listKelasUji.Count];
Parallel.For(0, _arrayFiturUji.GetLength(0), i =>
{
Parallel.For(0, _arrayFiturUji.GetLength(1), j =>
{
_arrayFiturUji[i, j] = _util.NormalizedMinMax(_listFiturUji[i][j], 0, 0.15);
});
_arrayKelasUji[i] = _listKelasUji[i];
});
btnLatih.Enabled = true;
}
}
private void btnMuatModelBetaHatt_Click(object sender, EventArgs e)
{
switch (cbMachineLearning.SelectedIndex)
{
case 0:
var openfile = Tmp.OpenFileDialog("Muat Model", "betahatt", "MODEL Files (*.betaHatt)|*.betaHatt");
var dialogResult = openfile.ShowDialog();
var listModelbetaHatt = new List <double[]>();
updateAktivitas("Open File BetaHatt " + openfile.FileNames);
if (dialogResult == DialogResult.OK)
{
foreach (String file in openfile.FileNames)
{
var filecsv = File.ReadAllLines(file);
foreach (var row in filecsv)
{
listModelbetaHatt.Add(Array.ConvertAll(row.Split(';'), double.Parse));
}
}
_modelbetaHatt = new double[listModelbetaHatt.Count()];
Parallel.For(0, listModelbetaHatt.Count(), i => {
Parallel.For(0, listModelbetaHatt[0].Length, j =>
{
_modelbetaHatt[i] = listModelbetaHatt[i][j];
});
});
groupPemakaian.Enabled = true;
btnUji.Enabled = true;
btnUjiDatasets.Enabled = true;
groupOpsiLatih.Enabled = true;
enn = new ExtremeNeuralNetwork();
}
break;
}
}
public FormMuse()
{
_nama = "";
DialogResult dialogres;
do
{
dialogres = Tmp.InputBox("Form Nama", "Masukkan nama anda: ", ref _nama);
if (dialogres == DialogResult.Cancel)
{
break;
}
} while ((_nama == "" && dialogres == DialogResult.OK));
InitializeComponent();
if (dialogres.ToString() == "Cancel")
{
Environment.Exit(0);
}
else
{
rcAktivitas.Text += DateTime.Now.ToString("HH:mm:ss") + " : \tSelamat Datang " + _nama + "\n";
this.Text += " - " + _nama + " - " + DateTime.Now.ToString("HH:mm:ss");
}
string[] folder = { "RAW_HURUF\\", "BPF_HURUF\\", "DFT_HURUF\\", "FEATURE\\", "RAW_GAMBAR\\", "BPF_HURUF\\", "DFT_HURUF\\", "weight\\", "betaHatt\\" };
foreach (var f in folder)
{
if (!Directory.Exists(f))
{
Directory.CreateDirectory(f);
}
}
}
private void btnMuatModel_Click(object sender, EventArgs e)
{
switch (cbMachineLearning.SelectedIndex)
{
case 0:
var openfile = Tmp.OpenFileDialog("Muat Model", "weight", "MODEL Files (*.weight)|*.weight");
var dialogResult = openfile.ShowDialog();
var listModelWeight = new List <double[]>();
updateAktivitas("Open File Weight " + openfile.FileNames);
if (dialogResult == DialogResult.OK)
{
foreach (String file in openfile.FileNames)
{
var filecsv = File.ReadAllLines(file);
foreach (var row in filecsv)
{
listModelWeight.Add(Array.ConvertAll(row.Split(';'), double.Parse));
}
}
_modelWeight = new double[listModelWeight.Count(), listModelWeight[0].Length];
Parallel.For(0, _modelWeight.GetLength(0), i => {
Parallel.For(0, _modelWeight.GetLength(1), j =>
{
_modelWeight[i, j] = listModelWeight[i][j];
});
});
btnMuatModelBetaHatt.Enabled = true;
}
break;
}
}
private void ELM()
{
this.Invoke((MethodInvoker) delegate {
groupLatih.Enabled = false;
groupOpsiLatih.Enabled = false;
groupPemakaian.Enabled = false;
});
Console.WriteLine(_neuronHidden);
Console.WriteLine(_minRand);
Console.WriteLine(_maxRand);
Network net = new Network(_neuronHidden, _minRand, _maxRand);
enn = new ExtremeNeuralNetwork(net, Activation.SigmoidBiner);
_error = enn.teach(_arrayFitur, _arrayKelas);
tbMape.Invoke((MethodInvoker) delegate { tbMape.Text = _error + ""; });
DialogResult dialogres;
string _filename = "";
do
{
dialogres = Tmp.InputBox("Form Nama", "Masukkan nama model Training: ", ref _filename);
if (dialogres == DialogResult.Cancel)
{
break;
}
} while ((_filename == "" && dialogres == DialogResult.OK));
if (dialogres.ToString() == "Cancel")
{
}
else
{
saveFile(enn.Weight, "weight", _filename);
saveFile(enn.BetaHatt, "betaHatt", _filename);
updateAktivitas("Save File Model");
}
this.Invoke((MethodInvoker) delegate {
groupLatih.Enabled = true;
groupOpsiLatih.Enabled = true;
groupPemakaian.Enabled = true;
});
}