A New Architecture For 2-D Array Neural Nets With An Electro-Optical Implementation
Fathi M. A. Salam, Yiwen Wang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1989
A new formulation for the processing of 2-D array images is introduced. The formulation is based on neural networks; consequently it possesses inherent fault-tolerance capabilities and exhibits impressive processing powers. The formulation essentially processes the 2-D input array to: (i) undergo two matrix multiplications, and then (ii) be processed via the usual thresholding and feedback which are characteristic of neural nets. Then an electro-optical implementation of our formulation is described. The implementation includes adaptations of the available incoherent optical techniques for the real-time multiplication of multiple matrices.