/// <summary>
/// Overridden.Constucts the network topology.
/// </summary>
protected override void CreateNetwork()
{
nodes = new NeuroNode[NodesCount];
links = new NeuroLink[LinksCount];
for (var i = 0; i < InputNodesCount; i++)
{
nodes[i] = new BidirectionalAssociativeMemoryInputNode();
}
for (var i = InputNodesCount; i < InputNodesCount + OutputNodesCount; i++)
{
nodes[i] = new BidirectionalAssociativeMemoryOutputNode();
}
for (var i = 0; i < linksCount; i++)
{
links[i] = new BidirectionalAssociativeMemoryLink();
}
var k = 0;
for (var i = 0; i < InputNodesCount; i++)
{
for (var j = InputNodesCount; j < InputNodesCount + OutputNodesCount; j++)
{
nodes[i].LinkTo(nodes[j], links[k]);
k++;
}
}
}
/// <summary>
/// Overridden.Constucts the network topology.
/// </summary>
protected override void CreateNetwork()
{
nodes = new NeuroNode[NodesCount];
links = new NeuroLink[LinksCount];
for (var i = 0; i < InputNodesCount; i++)
nodes[i] = new BidirectionalAssociativeMemoryInputNode();
for (var i = InputNodesCount; i < InputNodesCount + OutputNodesCount; i++)
nodes[i] = new BidirectionalAssociativeMemoryOutputNode();
for (var i = 0; i < linksCount; i++)
links[i] = new BidirectionalAssociativeMemoryLink();
var k = 0;
for (var i = 0; i < InputNodesCount; i++)
for (var j = InputNodesCount; j < InputNodesCount + OutputNodesCount; j++)
{
nodes[i].LinkTo(nodes[j], links[k]);
k++;
}
}