Proceedings Paper
A New Architecture For 2-D Array Neural Nets With An Electro-Optical Implementation| Format | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 16 December 1989
PDF: 9 pages
Proc. SPIE 0977, Real-Time Signal Processing XI, (16 December 1989); doi: 10.1117/12.948559
Published in SPIE Proceedings Vol. 0977:
Real-Time Signal Processing XI
J. P. Letellier, Editor(s)
PDF: 9 pages
Proc. SPIE 0977, Real-Time Signal Processing XI, (16 December 1989); doi: 10.1117/12.948559
Show Author Affiliations
Fathi M. A. Salam, Michigan State University (United States)
Yiwen Wang, Michigan State University (United States)
Published in SPIE Proceedings Vol. 0977:
Real-Time Signal Processing XI
J. P. Letellier, Editor(s)
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