public static void UpdateInfo(ILPanel panel, Label currentIter, Label totalError, NeuralNetwork ann)
{
DrawFunctions(panel, ann);
totalError.Invoke((Action) delegate
{
totalError.Text = ann.TotalError.ToString(CultureInfo.InvariantCulture);
totalError.Update();
});
currentIter.Invoke((Action) delegate
{
currentIter.Text = ann.Iter.ToString(CultureInfo.InvariantCulture);
currentIter.Update();
});
}
private static void SetFuzzySets(Panel panel, NeuralNetwork ann)
{
foreach (TableLayoutPanel item in panel.Controls.OfType <TableLayoutPanel>())
{
panel.Controls.Remove(item);
}
panel.AutoScroll = true;
panel.AutoSize = false;
TableLayoutPanel table = new TableLayoutPanel
{
Dock = DockStyle.None,
AutoSize = true,
AutoSizeMode = AutoSizeMode.GrowAndShrink,
AutoScroll = false
};
int numVariables = ann.Instance.NumVariables;
int numRules = ann.NumberOfRules;
var columnCount = numRules;
int rowCount = numVariables;
IActivationFunction[] func = ann.GetFunctions <IActivationFunction>(0);
double[] xValues = new double[50];
double[] yValues = new double[50];
for (int i = 0; i < 50; i++)
{
xValues[i] = -10 + (10.0 + 10.0) / 50.0 * i;
}
ILArray <float> xs = (double[])xValues.Clone();
for (var i = 0; i < rowCount; i++)
{
table.RowCount++;
table.RowStyles.Add(new RowStyle(SizeType.AutoSize));
for (int j = 0; j < columnCount; j++)
{
int ruleId = j + 1;
int variableId = i + 1;
string label = "Rule " + ruleId + ", variable " + variableId;
ILPanel newPanel = new ILPanel();
for (int k = 0; k < 50; k++)
{
yValues[k] = func[i * columnCount + j].ValueAt(xValues[k]);
}
ILArray <float> ys = (double[])yValues.Clone();
newPanel.Scene.Remove(newPanel.Scene.First <ILPlotCube>());
newPanel.Scene.Add(new ILPlotCube {
Children =
{
new ILLinePlot(xs, ys, lineWidth:2, lineColor:Color.Black)
}
});
newPanel.Scene.Screen.Add(new ILLabel(label)
{
Position = new Vector3(1, 0, 0),
Anchor = new PointF(1, 0)
});
newPanel.Refresh();
table.ColumnCount++;
table.ColumnStyles.Add(new ColumnStyle(SizeType.AutoSize));
table.Controls.Add(newPanel, j, i);
}
}
panel.Controls.Add(table);
panel.Refresh();
}
public static void FillTrainChoices(ILPanel panel, Label currentIteration, Label totalError, TextBox rules, ComboBox backpropagationType, TextBox eta, TextBox desiredError, NeuralNetwork ann)
{
InitPanel(panel, ann);
totalError.Text = ann.TotalError.ToString(CultureInfo.InvariantCulture);
rules.Text = RulesDefault.ToString(CultureInfo.InvariantCulture);
currentIteration.Text = ann.Iter.ToString(CultureInfo.InvariantCulture);
FillTypeChoices(backpropagationType);
eta.Text = EtaDefault.ToString(CultureInfo.InvariantCulture);
desiredError.Text = DesiredErrorDefault.ToString(CultureInfo.InvariantCulture);
}