public void AddNode(int plLayer, eNeuralNodeType peType)
{
Node oNode;
Connection oConnection;
int lNodeIndex;
//create node
oNode = new Node(peType, plLayer);
oNode.Treshold = 0;
oNode.Id = Nodes.Count;
Nodes.Add(oNode);
switch (peType)
{
case eNeuralNodeType.eInput:
{
InputNodes.Add(oNode);
break;
}
case eNeuralNodeType.eOutput:
{
OutputNodes.Add(oNode);
break;
}
}
lNodeIndex = Nodes.Count - 1;
//create connections to all nodes in previous layer
for (int lIndex = 0; lIndex < (int)Nodes.Count; lIndex++)
{
if (Nodes[lIndex].lLayer == plLayer - 1)
{
oConnection = new Connection(lIndex, lNodeIndex);
oConnection.fWeight = 0;
oNode.Connections.Add(oConnection);
}
}
//create connections to all nodes in next layer
foreach (Node Node in Nodes)
{
if (Node.lLayer == plLayer + 1)
{
oConnection = new Connection(lNodeIndex, Node.Id);
oConnection.fWeight = 0;
Node.Connections.Add(oConnection);
}
}
}
public Node(eNeuralNodeType peType, int plLayer)
{
m_Type = peType;
m_Layer = plLayer;
m_Calculated = false;
m_Value = 0;
m_CumulativeErrorDelta = 0;
Treshold = 0;
InputMax = 0;
Id = 0;
Connections = new List <Connection>(0);
}
