public Racecar(RaceTrack raceTrack, NeuralNet steeringnet)
{
this.raceTrack = raceTrack;
this.position = new Vector(raceTrack.data.start.x, raceTrack.data.start.y);
direction = new Vector(0.0, 1.0);
direction.Normalize();
speed = 0.0;
directionchangerate = 0.0;
IsStopped = false;
DistanceTraveled = 0.0;
eyedirections = new List <double>()
{
45,
20,
0.0,
-20,
-45
};
seenpoints = new List <Vector>();
this.steeringnet = steeringnet;
}
public NeuralNet(NeuralNet progenitor)
{
Inputs = new List <Neuron>();
Hidden = new List <List <Neuron> >();
Outputs = new List <Neuron>();
for (int i = 0; i < progenitor.Inputs.Count; i++)
{
Inputs.Add(new Neuron());
}
for (int i = 0; i < progenitor.Hidden.Count; i++)
{
var prevlayer = i == 0 ? Inputs : Hidden[i - 1];
Hidden.Add(new List <Neuron>());
for (int j = 0; j < prevlayer.Count; j++)
{
Hidden[i].Add(progenitor.Hidden[i][j].Mutate(prevlayer));
}
}
for (int i = 0; i < progenitor.Outputs.Count; i++)
{
Outputs.Add(progenitor.Outputs[i].Mutate(Hidden[Hidden.Count - 1]));
}
}
