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Proceedings Paper

Optical engineering for neural networks: an emerging technology
Author(s): Mohammed R. Sayeh
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Paper Abstract

Artificial neural networks are Information processing structures based upon models of brain functions. They are highly parallel and distributed dynamical systems that can carry out information processing by means of their state response to input stimuli. These networks promises advantages in speed adaptability and fault tolerance resulting from their highly parallel architectures. In this paper feedforward and recurrent networks are reviewed. These networks consist of collections of simple processing elements and dense interconnections among the processors. The optical techniques are good candidates for proving the neural network Implementation needs specifically the heavy interconnections among the processors. Finally some Important optical neural networks are reviewed.

Paper Details

Date Published: 1 March 1991
PDF: 10 pages
Proc. SPIE 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90, (1 March 1991); doi: 10.1117/12.25882
Show Author Affiliations
Mohammed R. Sayeh, Southern Illinois Univ./Carbondale (United States)


Published in SPIE Proceedings Vol. 1396:
Applications of Optical Engineering: Proceedings of OE/Midwest '90
Rudolph P. Guzik; Hans E. Eppinger; Richard E. Gillespie; Mary Kathryn Dubiel; James E. Pearson, Editor(s)

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