A New Architecture For 2-D Array Neural Nets With An Electro-Optical Implementation

Fathi M. A. Salam; Yiwen Wang

doi:10.1117/12.948559

16 December 1989 A New Architecture For 2-D Array Neural Nets With An Electro-Optical Implementation

Fathi M. A. Salam, Yiwen Wang

Proceedings Volume 0977, Real-Time Signal Processing XI; (1989) https://doi.org/10.1117/12.948559
Event: 32nd Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1988, San Diego, CA, United States

Abstract

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.

Citation Download Citation

Fathi M. A. Salam and Yiwen Wang "A New Architecture For 2-D Array Neural Nets With An Electro-Optical Implementation", Proc. SPIE 0977, Real-Time Signal Processing XI, (16 December 1989); https://doi.org/10.1117/12.948559

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