<title>Intelligent optical computing</title>

Abstract

The main difficulty in the realization of intelligent processing and computing techniques lies with the requirements of enourmous amount of machine computations and therefore must operate in a parallel processing environment. In this context interference-free parallel processing capability of optics technology can be efficiently exploited. Optical computing system can interconnect and operate on two dimensional input-output data structures and can store data in three dimension. Therefore the implementation of neural network models in optical domain is likely to be more effifient. The optical neural computing techniques with facilities of intelligent processing have become versatile tools for pattern identification, classification and recognition. The paper introduces a representative optical neural computing system developed for intelligent pattern association tasks. The system can associate patterns from noisy and incomplete informations. The space invariant properties can also be introduced during identification of patterns.