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Proceedings Paper

Optical neural networks based on photorefractive beam fanning
Author(s): Bernard H. Soffer; Yuri Owechko
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Paper Abstract

We describe a hybrid optoelectronic neurocomputer based on photorefractive crystals in which each neural network interconnection and its weight is stored in a set of angularly- and spatially-multiplexed gratings generated by stimulated processes in photorefractive crystals called beam fanning. This approach to holographic storage reduces crosstalk and improves system performance. Successfully implemented neural networks include the Perceptron, Bidirectional Associative Memory, and multi-layer backpropagation networks. Preliminary results are presented.

Paper Details

Date Published: 21 January 1994
PDF: 4 pages
Proc. SPIE 2051, International Conference on Optical Information Processing, (21 January 1994); doi: 10.1117/12.166017
Show Author Affiliations
Bernard H. Soffer, Hughes Research Labs. (United States)
Yuri Owechko, Hughes Research Labs. (United States)

Published in SPIE Proceedings Vol. 2051:
International Conference on Optical Information Processing
Yuri V. Gulyaev; Dennis R. Pape, Editor(s)

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