private void RecalculateNetwork(NetNeural xNet)
{
//RECALCULATE NETWORK
int nodesInput = xNet.NodesInput;
int nodesHidden = xNet.NodesHidden;
int nodesOutput = xNet.NodesOutput;
//PANEL
PanelTop = new int[] { 0, (int)Start * 2, Panel.Height - (int)Start * 2 };
PanelHeight = PanelTop[2] - PanelTop[1];
PanelCenter = PanelHeight / 2 + PanelTop[1];
PanelMax = PanelHeight / NodesHeight;
PanelRatio = new float[] { nodesInput / PanelMax, nodesHidden / PanelMax, nodesOutput / PanelMax };
for (int i = 0; i < PanelRatio.Length; i++)
{
if (PanelRatio[i] < 1)
{
PanelRatio[i] = 1;
}
}
//NODES
Count = new int[] { (int)(nodesInput / PanelRatio[0]), (int)(nodesHidden / PanelRatio[1]), (int)(nodesOutput / PanelRatio[2]) };
float[] space = new float[] { Count[0] * NodesHeight, Count[1] * NodesHeight, Count[2] * NodesHeight };
Area = new float[] { PanelCenter - space[0] / 2, PanelCenter - space[1] / 2, PanelCenter - space[2] / 2 };
//TEXTS
Caption = new string[] { "Input Nodes (" + nodesInput + ")", "Hidden Nodes (" + nodesHidden + ")", "Output Nodes (" + nodesOutput + ")" };
Factor = new string[] { Mod_Convert.DoubleFormat(PanelRatio[0], 2) + "x", Mod_Convert.DoubleFormat(PanelRatio[1], 2) + "x", Mod_Convert.DoubleFormat(PanelRatio[2], 2) + "x" };
//LIST
PointList = new List <PointF[]>();
}
private void SimNext()
{
//NEXT SIMULATION
if (NetMain.ToggleSim.Checked)
{
SimNew();
NetMain.PanelProgress.AddProgress(NetMain.Worker);
}
else //FIND MINIMUM
{
NetInit?.Invoke(Net.PixelWidth, Net.PixelHeight, Net.NodesHidden, Net.NodesOutput, LRbefore, Net.Mode, false);
Run best = new Run(null, TimeSpan.MinValue, 0, 0, 0);
//LOOP PERFORMANCE LIST
foreach (Run run in PerformanceList)
{
if (run.Performance > best.Performance)
{
best = run;
}
}
double percent = Mod_Convert.DoubleFormat(best.Performance * 100, 2);
NetMain.setConsoleInvoke("Simulation stoppt, best performance: " + percent + " % (LR: " + (best.LearningRate * 100) + " %, E: " + best.Epochs + ")");
//PERFORMANCE PLOT
ShowPlot();
}
}
