Photonic implementation of Hopfield neural network for associative pattern recognition
Soumika Munshi, Siddhartha Bhattacharyya, Asit Kumar Datta · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
An optical matrix-vector multiplier has ben efficiently used for photonic implementation of Hopfield network model, which is used for binary pattern recognition. Training matrices are recorded on electrically addressed spatial light modulator, where each matrix is composed of the same row of each pattern, that the network is being trained with. After training, if an unknown pattern is presented to the network in the form of a vector, the output vector is obtained by the element that has the highest magnitude through a winner- take-all algorithm. Pattern can be recognized even if the input is noisy and distorted.