/// <summary>
/// Reads in normalized distances of the rays.
/// Each distance is reversed and normalized.
/// </summary>
void UpdateInputs()
{
float lenght = ConstHolder.UNIT_LINE_OF_SIGHT;
_distances[(int)Raycast.Direction.Left] = Normalise(_raycast.GetDistance(Raycast.Direction.Left), lenght);
_distances[(int)Raycast.Direction.FrontFrontLeft] = Normalise(_raycast.GetDistance(Raycast.Direction.FrontFrontRight), lenght);
_distances[(int)Raycast.Direction.FrontLeft] = Normalise(_raycast.GetDistance(Raycast.Direction.FrontLeft), lenght);
_distances[(int)Raycast.Direction.Front] = Normalise(_raycast.GetDistance(Raycast.Direction.Front), lenght);
_distances[(int)Raycast.Direction.FrontRight] = Normalise(_raycast.GetDistance(Raycast.Direction.FrontRight), lenght);
_distances[(int)Raycast.Direction.FrontFrontRight] = Normalise(_raycast.GetDistance(Raycast.Direction.FrontFrontRight), lenght);
_distances[(int)Raycast.Direction.Right] = Normalise(_raycast.GetDistance(Raycast.Direction.Right), lenght);
}
/// <summary>
/// Updates inputs for the network from the sensors.
/// </summary>
void UpdateInputs()
{
List <float> inputs = new List <float>(_neuralNetwork.inputs.Count);
float lenght = ConstHolder.UNIT_LINE_OF_SIGHT;
inputs.Add(Normalise(_raycast.GetDistance(Raycast.Direction.Left), lenght));
inputs.Add(Normalise(_raycast.GetDistance(Raycast.Direction.FrontFrontLeft), lenght));
inputs.Add(Normalise(_raycast.GetDistance(Raycast.Direction.FrontLeft), lenght));
inputs.Add(Normalise(_raycast.GetDistance(Raycast.Direction.Front), lenght));
inputs.Add(Normalise(_raycast.GetDistance(Raycast.Direction.FrontRight), lenght));
inputs.Add(Normalise(_raycast.GetDistance(Raycast.Direction.FrontFrontRight), lenght));
inputs.Add(Normalise(_raycast.GetDistance(Raycast.Direction.Right), lenght));
_neuralNetwork.inputs = inputs;
_neuralNetwork.Evaluate();
}
