private static List <List <KeyValuePair <double, double> > > getActivatedSignal(Signal signal, Network network)
{
List <List <KeyValuePair <double, double> > > activatedSignal = new List <List <KeyValuePair <double, double> > >();
List <Signal> weightedSum = new List <Signal>();
Signal input = new Signal(signal);
for (int i = 0; i < network.Count; i++)
{
weightedSum.Add(Layer.GetWeightedSum(input, network[i]));
activatedSignal.Add(new List <KeyValuePair <double, double> >());
for (int j = 0; j < weightedSum[i].Count; j++)
{
activatedSignal[i].Add(new KeyValuePair <double, double>(LogisticFunction(weightedSum[i][j]), LogisticFunctionDerivative(weightedSum[i][j])));
}
input.Clear();
foreach (KeyValuePair <double, double> pair in activatedSignal[i])
{
input.Add(pair.Key);
}
}
return(activatedSignal);
}
static void Main(string[] args)
{
Network network = new Network();
Layer layer2 = new Layer();
Layer layer3 = new Layer();
Node node1 = new Node(2);
Node node2 = new Node(2);
Node node3 = new Node(2);
layer2.Add(node1);
layer2.Add(node2);
layer3.Add(node3);
network.Add(layer2);
network.Add(layer3);
Dictionary <Signal, Signal> trainingSet = new Dictionary <Signal, Signal>();
Signal signalFF = new Signal();
Signal signalFT = new Signal();
Signal signalTF = new Signal();
Signal signalTT = new Signal();
Signal signalF = new Signal();
Signal signalT = new Signal();
signalFF.Add(0.0); signalFF.Add(0.0);
signalFT.Add(0.0); signalFT.Add(1.0);
signalTF.Add(1.0); signalTF.Add(0.0);
signalTT.Add(1.0); signalTT.Add(1.0);
signalF.Add(0.0);
signalT.Add(1.0);
trainingSet.Add(signalFF, signalF);
trainingSet.Add(signalFT, signalT);
trainingSet.Add(signalTF, signalT);
trainingSet.Add(signalTT, signalF);
network.Train(trainingSet);
Console.WriteLine("OutputFF: " + signalFF * network);
Console.WriteLine("OutputFT: " + signalFT * network);
Console.WriteLine("OutputTF: " + signalTF * network);
Console.WriteLine("OutputTT: " + signalTT * network);
Console.ReadLine();
}