public WorkShop()
{
InitializeComponent();
var network = new Network();
var solver = new ODESolver();
var recorder = new Recorder(Simulator, RecordType.None, "Soul");
Simulator = new Simulator(0.01, 50, network, solver, recorder);
IsReportProgress = true;
CellNet = new CellNet(network);
IsImaging = true;
var transformGroup = new Transform3DGroup();
TranslateTransform = new TranslateTransform3D();
RotateTransform = new RotateTransform3D(new QuaternionRotation3D());
ScaleTransform = new ScaleTransform3D();
transformGroup.Children.Add(TranslateTransform);
transformGroup.Children.Add(RotateTransform);
transformGroup.Children.Add(ScaleTransform);
ModelVisual.Transform = transformGroup;
ActionType = ActionType.None;
MouseLeftButtonDown += WorkShop_MouseLeftButtonDown;
MouseLeftButtonUp += WorkShop_MouseLeftButtonUp;
MouseRightButtonDown += WorkShop_MouseRightButtonDown;
MouseRightButtonUp += WorkShop_MouseRightButtonUp;
MouseMove += WorkShop_MouseMove;
MouseWheel += WorkShop_MouseWheel;
var n = new LI(-50, -48, 5, 2, -55);
var net0 = Proliferation.Division(n, new Point3D(1, 10, 10), "InitPotential", new Randomizer(new RNG(), dimyend: 9, dimzend: 9, mean: -50.0, std: 5));
net0.ReSet();
//net0.ReShape(new Point3D(2, 10, 5));
var net1 = Proliferation.Division(n, new Point3D(1, 10, 10), "InitPotential", new Randomizer(new RNG(), dimyend: 9, dimzend: 9, mean: -50.0, std: 10));
net1.ReSet();
Projection.From_To(net0, net1, new WeightSynapse(null, 1), ProjectionType.OneToOne, 1.0);
Projection.From_To(net0, net0, new WeightSynapse(null, -0.4), ProjectionType.AllToAll, 0.3);
Projection.From_To(net1, net0, new WeightSynapse(null, -0.1), ProjectionType.AllToAll, 0.5);
Projection.From_To(net1, net1, new WeightSynapse(null, 0.1), ProjectionType.OneToOne, 0.8);
var net = new Network();
net.ChildNetworks.Add(net0.ID, net0);
net.ChildNetworks.Add(net1.ID, net1);
LoadNetwork(net);
CellNet.ChildCellNet[net0.ID].Position = new Point3D(-15, 0, 15);
}
public ICellNet Develop(INetwork network)
{
if (network == null)
{
return null;
}
var cellnet = new CellNet(network);
for (int i = 0; i < cellnet.Network.Neurons.Count; i++)
{
var cell = Develop(cellnet.Network.Neurons.ElementAt(i).Value);
cellnet.Cells.Add(cell.Neuron.ID, cell);
cellnet.Mophology.Children.Add(cell.Mophology);
}
for (int i = 0; i < cellnet.Network.ChildNetworks.Count; i++)
{
var childcellnet = Develop(cellnet.Network.ChildNetworks.ElementAt(i).Value);
cellnet.ChildCellNet.Add(childcellnet.Network.ID, childcellnet);
cellnet.Mophology.Children.Add(childcellnet.Mophology);
}
return cellnet;
}
