Application of self-organized genetic algorithms to a novel color recognition system of all-optical neural networks

We have demonstrated a color recognition system composed of a novel, self-organized optical neural network system that includes genetic algorithms along with back propagation schemes, which make it possible that the system avoids the local minimum problems and make the learning processes faster and better. Our system is composed of a color liquid crystal display panel, bistable semiconductor lasers, photo- diodes, and liquid crystal light projector.