private NeuralNetwork.NeuralNetwork CreateNn()
{
NeuralNetwork.NeuralNetwork nn;
nn = new NeuralNetwork.NeuralNetwork();
InputLayer inputLayer = nn.CreateInputLayer();
//inHeading = inputLayer.CreateNeuron("heading");
//inVelocityAngle = inputLayer.CreateNeuron("v_angle");
//inVelocityLength = inputLayer.CreateNeuron("v_length");
inNextCheckpointDistance0 = inputLayer.CreateNeuron("c_dist0");
inNextCheckpointDistance1 = inputLayer.CreateNeuron("c_dist1");
inNextCheckpointDistance2 = inputLayer.CreateNeuron("c_dist2");
inNextCheckpointDistance3 = inputLayer.CreateNeuron("c_dist3");
inNextCheckpointAngle0 = inputLayer.CreateNeuron("c_angle0");
inNextCheckpointAngle1 = inputLayer.CreateNeuron("c_angle1");
inNextCheckpointAngle2 = inputLayer.CreateNeuron("c_angle2");
inNextCheckpointAngle3 = inputLayer.CreateNeuron("c_angle3");
inNextCheckpointAngle4 = inputLayer.CreateNeuron("c_angle4");
inNextCheckpointAngle5 = inputLayer.CreateNeuron("c_angle5");
inNextNextCheckpointAngle0 = inputLayer.CreateNeuron("nnc_angle0");
inNextNextCheckpointAngle1 = inputLayer.CreateNeuron("nnc_angle1");
inNextNextCheckpointAngle2 = inputLayer.CreateNeuron("nnc_angle2");
inNextNextCheckpointAngle3 = inputLayer.CreateNeuron("nnc_angle3");
inNextNextCheckpointAngle4 = inputLayer.CreateNeuron("nnc_angle4");
inNextNextCheckpointAngle5 = inputLayer.CreateNeuron("nnc_angle5");
//inNextCheckpointDistance = inputLayer.CreateNeuron("c_dist");
OutputLayer outputLayer = nn.CreateOutputLayer();
outHeading0 = outputLayer.CreateNeuron("o_heading0");
outHeading1 = outputLayer.CreateNeuron("o_heading1");
outHeading2 = outputLayer.CreateNeuron("o_heading2");
outHeading3 = outputLayer.CreateNeuron("o_heading3");
outHeading4 = outputLayer.CreateNeuron("o_heading4");
outHeading5 = outputLayer.CreateNeuron("o_heading5");
outThrust0 = outputLayer.CreateNeuron("o_thrust0");
outThrust1 = outputLayer.CreateNeuron("o_thrust1");
outThrust2 = outputLayer.CreateNeuron("o_thrust2");
outThrust3 = outputLayer.CreateNeuron("o_thrust3");
outThrust4 = outputLayer.CreateNeuron("o_thrust4");
outThrust5 = outputLayer.CreateNeuron("o_thrust5");
outThrust6 = outputLayer.CreateNeuron("o_thrust6");
for (int i = 0; i < 3; i++)
{
HiddenLayer hiddenLayer = nn.CreateHiddenLayer();
for (int j = 0; j < 32; j++)
{
HiddenNeuron hiddenNeuron = hiddenLayer.CreateNeuron(string.Format("hidden[{0}][{1}]", i, j));
}
}
nn.CreateFullConnections();
nn.InitWithRandomValues();
return(nn);
}
