public static void WriteNetwork(LayeredNeuralNetwork network)
{
Console.WriteLine("Network:");
Console.WriteLine("Input Neurons Values: ");
var i = 0;
foreach (var neuron in network.inputNeurons.neurons)
{
Console.Write(i);
Console.WriteLine(". " + neuron.GetOutputSignal().ToString("F2"));
i++;
}
for (int j = 0; j < network.hiddenLayers.Count; j++)
{
Console.WriteLine("Connections: ");
i = 0;
foreach (var connection in network.neuralConnections[j].connections)
{
Console.Write(i);
Console.WriteLine(". "
+ connection.input.GetOutputSignal().ToString("F2")
+ " * "
+ connection.wage.ToString("F2")
+ " = "
+ connection.currSignal.ToString("F2"));
i++;
}
Console.WriteLine("Hidden Neurons Values: ");
i = 0;
foreach (var neuron in network.hiddenLayers[j].neurons)
{
Console.Write(i);
Console.WriteLine(". " + neuron.GetOutputSignal().ToString("F2"));
i++;
}
}
Console.WriteLine("Connections: ");
i = 0;
foreach (var connection in network.neuralConnections[network.neuralConnections.Count - 1].connections)
{
Console.Write(i);
Console.WriteLine(". "
+ connection.input.GetOutputSignal().ToString("F2")
+ " * "
+ connection.wage.ToString("F2")
+ " = "
+ connection.currSignal.ToString("F2"));
i++;
}
Console.WriteLine("Output Neurons Values: ");
i = 0;
foreach (var neuron in network.outputNeurons.neurons)
{
Console.Write(i);
Console.WriteLine(". " + neuron.GetOutputSignal().ToString("F2"));
i++;
}
}
public static LayeredNeuralNetwork buildLayeredNetwork(LayeredNeuralNetworkBlueprint blueprint)
{
var newNetwork = new LayeredNeuralNetwork();
newNetwork.inputNeurons = new NeuralLayer(blueprint.inputNeuronAmount);
newNetwork.outputNeurons = new NeuralLayer(blueprint.outputNeuronAmount);
newNetwork.hiddenLayers = blueprint.hiddenLayersNeuronAmounts.Select(amount => new NeuralLayer(amount)).ToList();
newNetwork.neuralConnections = new List <NeuralConnectionLayer>();
if (newNetwork.hiddenLayers.Count == 0)
{
newNetwork.neuralConnections.Add(
newNetwork.inputNeurons.ConnectWith(newNetwork.outputNeurons)
);
return(newNetwork);
}
// Connect input neurons with first hidden layer
newNetwork.neuralConnections.Add(
newNetwork.inputNeurons.ConnectWith(newNetwork.hiddenLayers[0])
);
// Connect hidden layers with each other
for (int i = 0; i < newNetwork.hiddenLayers.Count - 1; i++)
{
newNetwork.neuralConnections.Add(
newNetwork.hiddenLayers[i].ConnectWith(newNetwork.hiddenLayers[i + 1])
);
}
// Connect last hidden layer with output neurons
newNetwork.neuralConnections.Add(
newNetwork.hiddenLayers[newNetwork.hiddenLayers.Count - 1].ConnectWith(newNetwork.outputNeurons)
);
return(newNetwork);
}
