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NLMSvariants
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updated

This commit is contained in:
kbecke23 2018-05-22 12:40:22 +02:00
parent 3890031932
commit 6ff71dddba
1 changed files with 90 additions and 31 deletions
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119
src/c_sharp_implementation/NLMSvariants.cs
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@ -44,19 +44,39 @@ namespace NMLS_Graphisch
*
*---------------------------------------------------*/
private void GO_btn_Click(object sender, EventArgs e)
private void Start_btn_Click(object sender, EventArgs e)
{
/* Initializing NumberOfSamples with the choosen pixelcount */
NumberOfSamples = Int32.Parse(comboBox_pixel.SelectedItem.ToString());
/* Initializing the weights */
w = new double[windowSize, NumberOfSamples];
for (int i = 0; i < NumberOfSamples; i++)
{
for (int k = 0; k < windowSize; k++)
{
w[k, i] = rnd.NextDouble();
}
}
/* Initializing the learnrate with the choosen one */
txtBox_learnrate.Text = txtBox_learnrate.Text.Replace(".", ",");
try
{
learnrate = Double.Parse(txtBox_learnrate.Text);
}
catch(Exception exep)
{
MessageBox.Show("Please choose a learnrate between >0.0 and <=1.0");
return;
}
while(learnrate <= 0.0 || learnrate > 1.0)
{
MessageBox.Show("Bitte geben sie als lernrate eine Zahl von >0 bis <=1 ein");
var myValue = Microsoft.VisualBasic.Interaction.InputBox("Geben Sie eine Lernarte zwischen >0.0 & <=1.0", "Lernrate", "0,8");
MessageBox.Show("Please choose a learnrate between >0.0 and <=1.0");
var myValue = Microsoft.VisualBasic.Interaction.InputBox("Choose a learnrate between >0.0 and <=1.0", "Learnrate", "0,8");
if(myValue == "")
{
return;
@ -67,6 +87,8 @@ namespace NMLS_Graphisch
}
}
/* Initializing the windowsize with the choosen one*/
/* Initializing the chart to display all values */
chart_main.ChartAreas[0].AxisX.Maximum = NumberOfSamples;
chart_main.ChartAreas[0].AxisY.Maximum = 300;
@ -79,7 +101,7 @@ namespace NMLS_Graphisch
{
for (int k = 0; k < windowSize; k++)
{
File.AppendAllText("weights.txt",
File.AppendAllText(String.Format("weights_{0}.txt", comboBox_algorithem.SelectedItem.ToString().Replace(" ","")),
String.Format("[{0}][{1}] {2}\n", k, i, Math.Round(w[k, i], 2).ToString()),
Encoding.UTF8);
}
@ -92,15 +114,15 @@ namespace NMLS_Graphisch
switch (comboBox_algorithem.SelectedItem.ToString())
{
case "lokaler Mittelwert":
case "local mean":
series = localMean();
break;
case "direkter Vorgänger":
case "direct predecessor":
series = directPredecessor();
break;
case "differenzieller Vorgänger":
case "differential predecessor":
series = diffPredecessor();
break;
@ -130,7 +152,7 @@ namespace NMLS_Graphisch
{
for (int k = 0; k < windowSize; k++)
{
File.AppendAllText("weights_after.txt",
File.AppendAllText(String.Format("weights_after_{0}.txt", comboBox_algorithem.SelectedItem.ToString().Replace(" ", "")),
String.Format("[{0}][{1}] {2}\n", k, i, Math.Round(w[k, i], 2).ToString()),
Encoding.UTF8);
}
@ -159,8 +181,8 @@ namespace NMLS_Graphisch
x_error[0] = 0;
/* Inizilazing series for the main chart */
Series localMeanError = new Series("Lokaler Mittelwert Error");
Series localMeanPredict = new Series("Lokaler Mittelwert Prediction");
Series localMeanError = new Series("Local Mean Error");
Series localMeanPredict = new Series("Local Mean Prediction");
localMeanError.ChartType = SeriesChartType.Spline;
localMeanPredict.ChartType = SeriesChartType.Spline;
@ -195,11 +217,11 @@ namespace NMLS_Graphisch
if (checkBox_output.Checked)
{
File.AppendAllText("lokalerMittelwert.txt",
File.AppendAllText("localMean.txt",
String.Format("{0}. X_pred {1}\n", x_count, x_pred),
Encoding.UTF8);
File.AppendAllText("lokalerMittelwert.txt",
File.AppendAllText("localMean.txt",
String.Format("{0}. X_actual {1}\n", x_count, x_actual),
Encoding.UTF8);
}
@ -213,7 +235,7 @@ namespace NMLS_Graphisch
/* Output */
if (checkBox_output.Checked)
{
File.AppendAllText("lokalerMittelwert.txt",
File.AppendAllText("localMean.txt",
String.Format("{0}. X_error {1}\n\n", x_count, x_error[x_count]),
Encoding.UTF8);
}
@ -260,8 +282,8 @@ namespace NMLS_Graphisch
/* Output the result */
if (checkBox_output.Checked)
{
File.AppendAllText("ergebnisse.txt",
String.Format("Quadratische Varianz(x_error): {0}\n Mittelwert(x_error): {1}\n\n", varianz, mittel),
File.AppendAllText("results_localMean.txt",
String.Format("Squared variance(x_error): {0}\n Average(x_error): {1}\n\n", varianz, mittel),
Encoding.UTF8);
}
@ -285,8 +307,8 @@ namespace NMLS_Graphisch
int x_count = 0;
/* Inizilazing series for the main chart */
Series directPredecessorError = new Series("Direkter Vorgänger Error");
Series directPredecessorPrediction = new Series("Direkter Vorgänger Prediction");
Series directPredecessorError = new Series("Direct predecessor Error");
Series directPredecessorPrediction = new Series("Direct predecessor Prediction");
directPredecessorError.ChartType = SeriesChartType.Spline;
directPredecessorPrediction.ChartType = SeriesChartType.Spline;
@ -311,11 +333,11 @@ namespace NMLS_Graphisch
/* If output is checked a file is produced with prediction, actual and the error */
if (checkBox_output.Checked)
{
File.AppendAllText("direkterVorgaenger.txt",
File.AppendAllText("directpredecessor.txt",
String.Format("{0}. X_pred {1}\n", x_count, x_pred),
Encoding.UTF8);
File.AppendAllText("direkterVorgaenger.txt",
File.AppendAllText("directpredecessor.txt",
String.Format("{0}. X_actual {1}\n", x_count, x_actual),
Encoding.UTF8);
}
@ -326,7 +348,7 @@ namespace NMLS_Graphisch
/* Output */
if (checkBox_output.Checked)
{
File.AppendAllText("direkterVorgaenger.txt",
File.AppendAllText("directpredecessor.txt",
String.Format("{0}. X_error {1}\n\n", x_count, x_error[x_count]),
Encoding.UTF8);
}
@ -376,8 +398,8 @@ namespace NMLS_Graphisch
/* Output the result */
if (checkBox_output.Checked)
{
File.AppendAllText("ergebnisse.txt",
String.Format("Quadratische Varianz(x_error): {0}\n Mittelwert(x_error): {1}\n\n", varianz, mittel),
File.AppendAllText("results_directpredecessor.txt",
String.Format("Squared variance(x_error): {0}\n Average(x_error): {1}\n\n", varianz, mittel),
Encoding.UTF8);
}
@ -401,8 +423,8 @@ namespace NMLS_Graphisch
int x_count = 0;
/* Inizilazing series for the main chart */
Series diffPredecessorError = new Series("Differenzieller Vorgänger Error");
Series diffPredecessorPrediction = new Series("Differenzieller Vorgänger Prediction");
Series diffPredecessorError = new Series("Differential predecessor Error");
Series diffPredecessorPrediction = new Series("Differential predecessor Prediction");
diffPredecessorError.ChartType = SeriesChartType.Spline;
diffPredecessorPrediction.ChartType = SeriesChartType.Spline;
@ -427,11 +449,11 @@ namespace NMLS_Graphisch
/* If output is checked a file is produced with prediction, actual and the error */
if (checkBox_output.Checked)
{
File.AppendAllText("differenziellerVorgaenger.txt",
File.AppendAllText("differentialpredecessor .txt",
String.Format("{0}. X_pred {1}\n", x_count, x_pred),
Encoding.UTF8);
File.AppendAllText("differenziellerVorgaenger.txt",
File.AppendAllText("differentialpredecessor.txt",
String.Format("{0}. X_actual {1}\n", x_count, x_actual),
Encoding.UTF8);
}
@ -442,7 +464,7 @@ namespace NMLS_Graphisch
/* Output */
if (checkBox_output.Checked)
{
File.AppendAllText("differenziellerVorgaenger.txt",
File.AppendAllText("differentialpredecessor.txt",
String.Format("{0}. X_error {1}\n\n", x_count, x_error[x_count]),
Encoding.UTF8);
}
@ -494,8 +516,8 @@ namespace NMLS_Graphisch
/* Output the result */
if (checkBox_output.Checked)
{
File.AppendAllText("ergebnisse.txt",
String.Format("Quadratische Varianz(x_error): {0}\n Mittelwert(x_error): {1}\n\n", varianz, mittel),
File.AppendAllText("results_differentialpredecessor.txt",
String.Format("Squared variance(x_error): {0}\n Average(x_error): {1}\n\n", varianz, mittel),
Encoding.UTF8);
}
@ -516,11 +538,14 @@ namespace NMLS_Graphisch
// sets an eventhandler on the gotFocus event
txtBox_learnrate.GotFocus += new EventHandler(txtBox_learnrate_gotFocus);
txtBox_learnrate.Text = ">0.0 & <=1.0";
// sets an eventhandler on the gotFocus event
txtBox_windowSize.GotFocus += new EventHandler(txtBox_windowSize_gotFocus);
chart_main.Series.Clear();
Series x_actual = new Series("Actual x Value");
x_actual.ChartType = SeriesChartType.Spline;
// sets the accept button to Start_btn
this.AcceptButton = Start_btn;
/* Initializing weights and actual values
In case no picture is loaded, actual values are generated
@ -549,6 +574,18 @@ namespace NMLS_Graphisch
txtBox_learnrate.Text = "";
}
/*--------------------------------------------------
* txtBox_windowSize_gotFocus()
*
* sets the default text to "" if gotFocus is raised
*
* -------------------------------------------------*/
protected void txtBox_windowSize_gotFocus(Object sender, EventArgs e)
{
txtBox_windowSize.Text = "";
}
/*---------------------------------------------------
* Clear_btn_Click()
*
@ -638,6 +675,28 @@ namespace NMLS_Graphisch
}
}
}
/*---------------------------------------------------
* txtBox_windowSize_TextChanged()
*
* proofs if window size textbox is a valid number
*
*---------------------------------------------------*/
private void txtBox_windowSize_TextChanged(object sender, EventArgs e)
{
try
{
if(txtBox_windowSize.Text.Length > 0)
{
windowSize = Int32.Parse(txtBox_windowSize.Text);
}
}catch(Exception excep)
{
MessageBox.Show("Not a valid window size");
txtBox_windowSize.Text = "";
}
}
}
}