public override void CreateNetwork()
{
Nodes = new NeuralNodeBase[NodeCount];
Links = new NeuralLink[LinkCount];
for (var i = 0; i < NodeCount - 2; i++) // Create Input Nodes
{
Nodes[i] = new InputNode();
}
Nodes[NodeCount - 2] = new BiasNode(); // Create Bias Node
Nodes[NodeCount - 1] = new AdalineNode(LearningRate);
for (var i = 0; i < LinkCount; i++)
{
var l = new AdalineLink(Nodes[i], Nodes[NodeCount - 1]); // Create links
Links[i] = l;
}
for (var i = 0; i < LinkCount; i++) // Connect inputs to ADALINE
{
Nodes[i].OutLinks.Add(Links[i]);
Nodes[NodeCount - 1].InLinks.Add(Links[i]);
Links[i].InNode = Nodes[i];
Links[i].OutNode = Nodes[NodeCount - 1];
var inNode = Nodes[i];
var outNode = Nodes[NodeCount - 1];
var link = Links[i];
outNode.InLinks.Add(link);
inNode.OutLinks.Add(link);
link.InNode = inNode;
link.OutNode = outNode;
}
}
static void Main(string[] args)
{
CreateInputPatterns();
//
// TODO: Add code to start application here
//
Console.WriteLine("Network class test......");
//NeuralNodeBase [] nodes = new NeuralNodeBase[5];
// for( int i=0; i<5; i++ )
// {
// nodes[i] = new FeedbackNode();
// nodes[i].Name = string.Format( "Node:{0}", i.ToString() );
// }
//
// Console.WriteLine("Creatiung a network, it should look like this:");
// Console.WriteLine("(0)--\\");
// Console.WriteLine("(1)===\\");
// Console.WriteLine(" (4)");
// Console.WriteLine("(2)===/");
// Console.WriteLine("(3)--/");
NeuralNodeBase [] nodes = new NeuralNodeBase[4];
NeuralLink [] Link = new NeuralLink[3];
nodes[0] = new InputNode(); // Create Nodes for Network
nodes[1] = new InputNode();
nodes[0].Name = "Input1";
nodes[1].Name = "Input2";
nodes[2] = new BiasNode();
nodes[2].Name = "BiasNode";
nodes[3] = new AdalineNode(0.45); // ADALINE node with learning rate of 0.45
nodes[3].Name = "AdalineNode";
Link[0] = new AdalineLink(nodes[0], nodes[3]); // Create Links for Network
Link[1] = new AdalineLink(nodes[1], nodes[3]);
Link[2] = new AdalineLink(nodes[2], nodes[3]);
NeuralNodeBase.Link(nodes[0], nodes[3], Link[0]); // Connect Network
NeuralNodeBase.Link(nodes[1], nodes[3], Link[1]);
NeuralNodeBase.Link(nodes[2], nodes[3], Link[2]);
// add output links
// nodes[0].Link( nodes[4], LinkDirection.OUTPUT );
// nodes[1].Link( nodes[4], LinkDirection.OUTPUT );
// nodes[2].Link( nodes[4], LinkDirection.OUTPUT );
// nodes[3].Link( nodes[4], LinkDirection.OUTPUT );
//
// // add input links
// nodes[4].Link( nodes[0], LinkDirection.INPUT );
// nodes[4].Link( nodes[1], LinkDirection.INPUT );
// nodes[4].Link( nodes[2], LinkDirection.INPUT );
// nodes[4].Link( nodes[3], LinkDirection.INPUT );
// let's see
Console.WriteLine("Examining Links.....");
for (int i = 0; i < nodes.Length; i++)
{
Console.WriteLine("Node Index: {0}, Node Name: {1}", i, nodes[i].Name);
Console.WriteLine(" Input Nodes ({0}):", nodes[i].InLinks.Count);
foreach (NeuralLink link in nodes[i].InLinks)
{
Console.WriteLine(" In Node:{0} Out Node:{1}", link.InNode.Name, link.OutNode.Name);
}
Console.WriteLine(" Output Nodes ({0}):", nodes[i].OutLinks.Count);
foreach (NeuralLink link in nodes[i].OutLinks)
{
Console.WriteLine(" In Node:{0} Out Node:{1}", link.InNode.Name, link.OutNode.Name);
}
}
Console.WriteLine("Press enter to continue....");
Console.Read();
}