private void DrawNeuron(SpriteBatch spriteBatch, Neuron n, float strongestConnection, Neuron mouseNeuron, Vector2?nameOffset = null, bool writeRight = false)
{
if (n is WorkingNeuron)
{
DrawConnections(spriteBatch, n, strongestConnection, mouseNeuron);
}
float x = n.DrawPosition.X;
float y = n.DrawPosition.Y;
Color c = Color.Black;
float val = n.GetValue();
if (val < 0)
{
c = Color.Red;
}
else
{
c = Color.Green;
}
float valSize = val * NEURONSIZE;
RenderHelper.DrawCircle(spriteBatch, x, y, NEURONSIZE / 2 + 1, Color.White);
RenderHelper.DrawCircle(spriteBatch, x, y, valSize / 2, c);
if (nameOffset != null)
{
Vector2 pos = new Vector2(x, y) + (Vector2)nameOffset;
if (writeRight)
{
pos.X -= Fonts.FontArial.MeasureString(n.GetName()).X;
}
spriteBatch.DrawString(Fonts.FontArial, n.GetName(), pos, Color.White);
}
}
private void DrawConnections(SpriteBatch spriteBatch, Neuron n, float strongestConnection, Neuron mouseNeuron)
{
WorkingNeuron wn = (WorkingNeuron)n;
foreach (Connection c in wn.GetConnections())
{
if (mouseNeuron != null && n != mouseNeuron && c.entryNeuron != mouseNeuron)
{
continue;
}
Color color = Color.Black;
float value = c.GetValue();
float alpha = Mathf.Sqrt(Math.Abs(value) / strongestConnection);
//TODO
if (value > 0)
{
color = new Color(0f, alpha, 0f, 1f);
}
else
{
color = new Color(alpha, 0f, 0f, 1f);
}
RenderHelper.DrawLine(spriteBatch, n.DrawPosition.X, n.DrawPosition.Y, c.entryNeuron.DrawPosition.X, c.entryNeuron.DrawPosition.Y, color, 1);
}
}
private void DrawLayer(SpriteBatch spriteBatch, List <Neuron> layer, float strongestConnection, Neuron mouseNeuron, Vector2?nameOffset = null, bool writeRight = false)
{
for (int i = 0; i < layer.Count; i++)
{
DrawNeuron(spriteBatch, layer[i], strongestConnection, mouseNeuron, nameOffset, writeRight);
}
}
public Connection(Neuron n, float weight)
{
this.weight = weight;
this.entryNeuron = n;
}
public void AddNeuronConnection(Neuron n, float weight)
{
AddNeuronConnection(new Connection(n, weight));
}
public NeuronalNetwork CloneFullMesh()
{
if (!fullMeshGenerated)
{
throw new NeuronalNetworkNotFullmeshedException();
}
NeuronalNetwork copy = new NeuronalNetwork();
Dictionary <Neuron, Neuron> oldToNewMap = new Dictionary <Neuron, Neuron>();
foreach (InputNeuron input in InputNeurons)
{
Neuron newNeuron = input.NameCopy();
oldToNewMap.Add(input, newNeuron);
copy.AddInputNeuron((InputNeuron)newNeuron);
}
for (int layerIndex = 0; layerIndex < HiddenLayerCount; layerIndex++)
{
List <Neuron> newLayer = new List <Neuron>();
foreach (WorkingNeuron wn in neurons[layerIndex + 1])
{
WorkingNeuron newNeuron = wn.NameCopy() as WorkingNeuron;
oldToNewMap.Add(wn, newNeuron);
newLayer.Add(newNeuron);
foreach (Connection con in wn.GetConnections())
{
newNeuron.AddNeuronConnection(oldToNewMap[con.entryNeuron], con.weight);
}
}
copy.AddHiddenLayer(newLayer);
}
foreach (Neuron output in OutputNeurons)
{
WorkingNeuron newNeuron = output.NameCopy() as WorkingNeuron;
copy.AddOutputNeuron(newNeuron);
foreach (Connection con in (output as WorkingNeuron).GetConnections())
{
newNeuron.AddNeuronConnection(oldToNewMap[con.entryNeuron], con.weight);
}
}
copy.fullMeshGenerated = true;
//copy.GenerateFullMesh();
//for (int layerIndex = 1; layerIndex < neurons.Count; layerIndex++)
//{
// for (int neuronIndex = 0; neuronIndex < neurons[layerIndex].Count; neuronIndex++)
// {
// List<Connection> connectionsOriginal = ((WorkingNeuron)neurons[layerIndex][neuronIndex]).GetConnections();
// List<Connection> connectionsCopy = ((WorkingNeuron)copy.neurons[layerIndex][neuronIndex]).GetConnections();
// if (connectionsOriginal.Count != connectionsCopy.Count)
// {
// throw new NotSameAmountOfNeuronsException();
// }
// for (int k = 0; k < connectionsOriginal.Count; k++)
// {
// connectionsCopy[k].weight = connectionsOriginal[k].weight;
// }
// }
//}
return(copy);
}
public void AddOutputNeuron(Neuron neuron)
{
OutputNeurons.Add(neuron);
}