public Network()
{
Layer input = new Layer();
Layer hidden = new Layer();
Layer output = new Layer();
for (int i = 0; i < 4; i++)
{
InputNeuron neuron = new InputNeuron();
neuron.SetActivationFunction(new Plain());
input.AddNeuron(neuron);
}
for (int i = 0; i < 9; i++)
{
Neuron neuron = new Neuron();
neuron.SetActivationFunction(new Sigmoid());
SortedList <int, Neuron> neurons = input.GetNeurons();
foreach (Neuron n in neurons.Values)
{
NeuronConnection con = new NeuronConnection(n, neuron);
neuron.AddConnection(con);
}
hidden.AddNeuron(neuron);
}
for (int i = 0; i < 1; i++)
{
Neuron neuron = new Neuron();
neuron.SetActivationFunction(new Sigmoid());
SortedList <int, Neuron> neurons = hidden.GetNeurons();
foreach (Neuron n in neurons.Values)
{
NeuronConnection con = new NeuronConnection(n, neuron);
neuron.AddConnection(con);
}
output.AddNeuron(neuron);
}
foreach (InputNeuron n in input.GetNeurons().Values)
{
Random r = new Random();
n.SetInputValue((float)r.NextDouble());
}
foreach (Neuron n in output.GetNeurons().Values)
{
float result = n.GetOutput();
}
}
public void AddConnection(NeuronConnection neuronConnection)
{
inputNeurons.Add(inputIndex, neuronConnection);
inputIndex++;
}