private void tEnglish_Click(object sender, EventArgs e)
{
if (MessageBox.Show("Czy jesteś pewien, że chcesz przełączyć na język angielski?", "Zmiana języka", MessageBoxButtons.YesNo,
MessageBoxIcon.Question, MessageBoxDefaultButton.Button2, MessageBoxOptions.DefaultDesktopOnly) == System.Windows.Forms.DialogResult.Yes)
{
var app = new AppSetting();
app.Language = Languages.en;
Application.Restart();
}
else
{
this.BringToFront();
}
}
private void RunLearningProcess(bool IsResearch = false)
{
try
{
AppSetting app = new AppSetting();
if (inputDataFilename == "")
{
OpenDataFile();
}
if (inputDataFilename == "") return;
blockInterface();
NBN nbn = new NBN(app.NeuronNumber, inputDataFilename);
nbn.NBN_Gain = app.Gain;
nbn.NBN_Activation = app.ActivationFunction;
nbn.NBN_Topography = app.TopologyType;
nbn.Threshold = app.Threshold;
nbn.IsClassification = app.IsClassification;
nbn.IsResearchMode = IsResearch;
nbn.MatLabCompareDataFolder = MatLabCompareDataFolder;
string tmpMLF = MatLabCompareDataFolder;
MatLabCompareDataFolder = "";//thanks got it
nbn.OnErrorChange += (s, error) =>
{
SetText(error.Format());
};
if (app.ShowConsole)
{
nbn.OnDebug += (s, msg) =>
{
SetDebug(msg);
};
}
if (app.DontDrawChart == false)
{
nbn.OnChartUpdate += (s, title, x, y) =>
{
SetChart(title, x, y);
};
}
if (app.ShowConsole)
{
console = new DebugConsole();
console.Show();
console.Hide();
}
chart.Series.Clear();
nbn.settings = new NeuralNetworkSettings(app.MaxIterations, app.MU, app.MUL, app.MUH, app.Scale, app.MaxError);
var result = nbn.Run(app.LearnTrials);
if (tmpMLF.Length > 0)
{
string file = tmpMLF + "\\wyniki_z_nbn_csharp.txt";
if (File.Exists(file)) File.Delete(file);
using (var w = new System.IO.StreamWriter(file, true))
{
w.WriteLine("Dane: " + Path.GetFileNameWithoutExtension(result.Filename));
w.WriteLine("Liczba neuronów: " + result.Info.nn.ToString());
w.WriteLine(string.Format("Średnie RMSE uczenia: {0}", result.AverageLearnRMSE));
w.WriteLine(string.Format("Średnie RMSE testowania: {0}", result.AverageTestRMSE));
w.WriteLine(string.Format("Średnie czas uczenia: {0}", result.AverageLearnTime));
w.WriteLine(string.Format("Średnie czas testowania: {0}", result.AverageTestTime));
w.WriteLine(string.Format("Odchylenie standardowe uczenia: {0}", double.IsNaN(result.StandardDeviation) ? 0 : result.StandardDeviation));
w.WriteLine(string.Format("Odchylenie standardowe testowania: {0}", double.IsNaN(result.StandardDeviationTest) ? 0 : result.StandardDeviationTest));
w.WriteLine(string.Format("Wskaźnik sukcesu: {0}", result.SuccessRate));
}
}
std.Text = string.Format("Odchylenie standardowe uczenia: {0} oraz testowania: {1}", double.IsNaN(result.StandardDeviation) ? 0 : result.StandardDeviation, double.IsNaN(result.StandardDeviationTest) ? 0 : result.StandardDeviationTest);
String runResult = String.Format(Resource.Inst.Get("r29"),
result.AverageLearnRMSE, result.AverageTestRMSE, result.Settings.MaxError);
runResult += " " + String.Format(Resource.Inst.Get("r167"),
(result.AverageLearnRMSE <= result.Settings.MaxError ? Resource.Inst.Get("r169") : Resource.Inst.Get("r170")));
runResult += ", " + String.Format(Resource.Inst.Get("r168"),
(result.AverageTestRMSE <= result.Settings.MaxError ? Resource.Inst.Get("r169") : Resource.Inst.Get("r170")));
try
{
times.Text = String.Format(String.Format(Resource.Inst.Get("r172"), result.SuccessRate)) + ", " + String.Format(Resource.Inst.Get("r171"),
result.AverageLearnTime.TrimEnd(new char[] { '0', '.' }),
result.AverageTestTime.TrimEnd(new char[] { '0', '.' }));
}
catch (Exception ex)
{
ex.ToLog();
}
status.Text = runResult;
if (app.AutoSaveLearningResults)
{
String file = Common.File.GetXmlFileNameForHistory();
DateTime d = DateTime.Now;
History h = new History();
h.Name = String.Format("{0}_{1}_{2}_{3}_{4}_{5}_{6}", Path.GetFileNameWithoutExtension(result.Filename),
d.Year, d.Month, d.Day, d.Hour, d.Minute, d.Second);
h.Data = marekbar.Xml.Serialize<LearnResult>(result);
h.Insert();
}
if (app.ShowConsole) { console.Show(); }
toolSSE.Items.Clear();
for (int i = 0; i < result.SSE.Count; i++)
{
toolSSE.Items.Add(Resource.Inst.Get("r182") + (i + 1).ToString());
int position = 1;
foreach (var sse in result.SSE[i])
{
toolSSE.Items.Add(String.Format(Resource.Inst.Get("r183"), position, Math.Round(sse,4).ToString().Replace(",",".")));
position++;
}
}
toolRMSE.Items.Clear();
for (int i = 0; i < result.RMSE.Count; i++)
{
toolRMSE.Items.Add(Resource.Inst.Get("r184") + (i + 1).ToString());
int position = 1;
foreach (var rmse in result.RMSE[i])
{
toolRMSE.Items.Add(String.Format(Resource.Inst.Get("r185"), position, Math.Round(rmse, 4).ToString().Replace(",", ".")));
position++;
}
}
}
catch (Exception ex)
{
info = ex.ToLog().Message;
}
finally
{
unblockInterface();
}
}
/// <summary>
/// Save button
/// </summary>
/// <param name="sender">object</param>
/// <param name="e">EventArgs</param>
private void toolSave_Click(object sender, EventArgs e)
{
try
{
AppSetting s = new AppSetting();
s.MU = double.Parse(ebMU.Value.Replace('.', ','));
s.MUH = double.Parse(ebMUH.Value.Replace('.', ','));
s.MUL = double.Parse(ebMUL.Value.Replace('.', ','));
s.MaxIterations = int.Parse(ebMI.Value.Replace('.', ','));
s.MaxError = double.Parse(ebME.Value.Replace('.', ','));
s.Scale = int.Parse(ebScale.Value.Replace('.', ','));
s.ShowConsole = cbConsole.SelectedIndex == 1;
s.AutoSaveLearningResults = cbAutoSave.SelectedIndex == 1;
s.LearnTrials = cbTrials.SelectedIndex + 1;
s.Language = (Internazional.Languages)cbLang.SelectedIndex;
s.NeuronNumber = nn.SelectedIndex + 1;
s.TopologyType = cbTopo.SelectedIndex;
s.ActivationFunction = cbFA.SelectedIndex;
s.Gain = double.Parse(tbGain.Text);
s.Threshold = double.Parse(thresh.Text);
s.IsClassification = is_classification.Checked;
s.DontDrawChart = no_chart.Checked;
}
catch (Exception ex)
{
ex.ToLog();
status.Text = ex.Message;
}
}
private void tPolish_Click(object sender, EventArgs e)
{
if (MessageBox.Show("Are you sure about switching application to Polish language?", "Language change", MessageBoxButtons.YesNo,
MessageBoxIcon.Question, MessageBoxDefaultButton.Button2, MessageBoxOptions.DefaultDesktopOnly) == System.Windows.Forms.DialogResult.Yes)
{
var app = new AppSetting();
app.Language = Languages.pl;
Application.Restart();
}
else
{
this.BringToFront();
}
}
/// <summary>
/// Loading settings window event
/// </summary>
/// <param name="sender">object</param>
/// <param name="e">EventArgs</param>
private void SettingsWindow_Load(object sender, EventArgs e)
{
try
{
for (int i = 1; i < 1000; i++) cbTrials.Items.Add(i);
AppSetting s = new AppSetting();
ebMU.Value = s.MU.ToString();
ebMUH.Value = s.MUH.ToString();
ebMUL.Value = s.MUL.ToString();
ebScale.Value = s.Scale.ToString();
ebME.Value = s.MaxError.ToString();
ebMI.Value = s.MaxIterations.ToString();
ebFolder.Value = Common.Folder.Application;
cbConsole.SelectedIndex = s.ShowConsole ? 1 : 0;
cbAutoSave.SelectedIndex = s.AutoSaveLearningResults ? 1 : 0;
cbTrials.SelectedIndex = s.LearnTrials - 1;
cbLang.SelectedIndex = (int)s.Language;
nn.SelectedIndex = s.NeuronNumber - 1;
cbTopo.SelectedIndex = s.TopologyType;
tbGain.Text = s.Gain.ToString().Replace(",", ".");
cbFA.SelectedIndex = s.ActivationFunction;
thresh.Text = s.Threshold.ToString();
is_classification.Checked = s.IsClassification;
no_chart.Checked = s.DontDrawChart;
logsStat();
learnStat();
}
catch (Exception ex)
{
cbConsole.SelectedIndex = 0;
cbAutoSave.SelectedIndex = 1;
cbTrials.SelectedIndex = 0;
ex.ToLog();
}
}
