This demo demonstrates how a Neural Network can be trained using a Genetic Algorithm for an autonomous system, for example a simulated aircraft.
The system uses 5 sensors for measuring distances (red rays in front of the aircraft) that feed an Artificial Neural Network. The 2 outputs of the Neural Network are the steering weights for right of left (speed is constant).
The Genetic Algorithm learning process is described in the video.
