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Proceedings Paper

Optical neural networks: an implementation
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Paper Abstract

This paper gives a brief overview of neural networks noting the advantages of the optical implementation. The Hopfield model mainly used as an associative memory is introduced. Planar holograms have been used to defme the interconnections between neurons in optical systems but volume holograms with photorefractive crystals offer much greater potential and density for these interconnections1. Because of the lack of suitable optical material light modulators have been used to simulate neurons in the neural plane. A simple one-layer network using photorefractive material will be presented along with some preliminary results.

Paper Details

Date Published: 1 March 1991
PDF: 3 pages
Proc. SPIE 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90, (1 March 1991); doi: 10.1117/12.47755
Show Author Affiliations
Azad Siahmakoun, Rose-Hulman Institute of Technology (United States)
Steven M. Blair, Rose-Hulman Institute of Technology (United States)
Markus R. Weiss, Rose-Hulman Institute of Technology (United States)


Published in SPIE Proceedings Vol. 1396:
Applications of Optical Engineering: Proceedings of OE/Midwest '90

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