Optical Neural Computing using Liquid Crystal Spatial Light Modulator

Abstract

We present a new optoelectronic feed-forward neural network system which is able to train the network according to delta-rule without using any external computers. This neural network system is composed of Spatial Light Modulators using Ferroelectric liquid Crystal. This optical system calculates the change of interconnection weights and automatically corrects the interconnection weights. The basic operations of this neural network system, learning and pattern classification, are successfully demonstrated.