public void Load_and_Generate(string Path)
{
XPathDocument doc = new XPathDocument(Path);
XPathNavigator nav = doc.CreateNavigator();
// Compile a standard XPath expression
XPathExpression expr;
expr = nav.Compile("/network");
XPathNodeIterator iterator = nav.Select(expr);
if (MF == null)
{
MF = new MainForm();
}
MF.Manager = new Layers_Manager();
while (iterator.MoveNext())
{
XPathNavigator nav2 = iterator.Current.Clone();
nav2.MoveToFirstChild();
MF.Manager.InputSlotSize = Convert.ToInt32(nav2.Value);
MF.NUDInputSlot.Value = (decimal)MF.Manager.InputSlotSize;
nav2.MoveToNext();
MF.Manager.MaxError = (float)Convert.ToDouble(nav2.Value);
while (nav2.MoveToNext() && nav2.Name == "layer")
{
nav2.MoveToFirstChild();
Layer L = new Layer(Convert.ToInt32(nav2.Value));
nav2.MoveToNext();
if (nav2.Value == "Hidden")
{
L.LayerType = Neuron.NeuronType.Hidden;
}
else
{
L.LayerType = Neuron.NeuronType.Output;
}
while (nav2.MoveToNext() && nav2.Name == "neuron")
{
nav2.MoveToFirstChild();
Neuron N = new Neuron();
N.ParentLayer_Ref = L;
N.Initialize(L.LayerType);
N.ID = Convert.ToInt32(nav2.Value);
nav2.MoveToNext();
N.InputCount = Convert.ToInt32(nav2.Value);
nav2.MoveToNext();
N.LearningRate = (float)Convert.ToDouble(nav2.Value);
nav2.MoveToNext();
N.Tag = nav2.Value;
nav2.MoveToNext();
N.Bias = (float)Convert.ToDouble(nav2.Value);
N.Weights.Add(N.Bias);
for (int i = 0; i < N.InputCount; i++)
{
N.Weights.Add(0);
N.OldWeights.Add(0);
}
L.Neurons.Add(N);
L.Count++;
nav2.MoveToParent();
}
L.InitializeLayer();
MF.Manager.Layers.Add(L);
nav2.MoveToParent();
}
foreach (Layer L in MF.Manager.Layers)
{
L.MaxID = MF.Manager.Layers.Count;
}
}
TSSStatusLbl.Text = "Network Loaded Successfully ...";
}
