/// <summary>
/// Overridden.Constructs network topology.
/// </summary>
protected override void CreateNetwork()
{
nodes = new NeuroNode[NodesCount];
linksCount = NodesCount * rowsCount * columsCount;
kohonenLayer = new NeuroNode[rowsCount, columsCount];
links = new NeuroLink[LinksCount];
for (var i = 0; i < NodesCount; i++)
{
nodes[i] = new InputNode();
}
var curr = 0;
for (var row = 0; row < rowsCount; row++)
{
for (var col = 0; col < columsCount; col++)
{
kohonenLayer[row, col] = new SelfOrganizingNode(learningRate);
for (var i = 0; i < NodesCount; i++)
{
links[curr] = new SelfOrganizingLink();
nodes[i].LinkTo(kohonenLayer[row, col], links[curr]);
curr++;
}
}
}
}
/// <summary>
/// Overridden.Constructs network topology.
/// </summary>
protected override void CreateNetwork()
{
nodes = new NeuroNode[NodesCount];
linksCount = NodesCount*rowsCount*columsCount;
kohonenLayer = new NeuroNode[rowsCount, columsCount];
links = new NeuroLink[LinksCount];
for (var i = 0; i < NodesCount; i++)
nodes[i] = new InputNode();
var curr = 0;
for (var row = 0; row < rowsCount; row++)
for (var col = 0; col < columsCount; col++)
{
kohonenLayer[row, col] = new SelfOrganizingNode(learningRate);
for (var i = 0; i < NodesCount; i++)
{
links[curr] = new SelfOrganizingLink();
nodes[i].LinkTo(kohonenLayer[row, col], links[curr]);
curr++;
}
}
}
