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