Optical neural networks: an implementation

Azad Siahmakoun; Steven M. Blair; Markus R. Weiss

doi:10.1117/12.47755

1 March 1991 Optical neural networks: an implementation

Azad Siahmakoun, Steven M. Blair, Markus R. Weiss

Proceedings Volume 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90; (1991) https://doi.org/10.1117/12.47755
Event: Applications of Optical Engineering: Proceedings of OE/Midwest '90, 1990, Rosemont, IL, United States

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.

Citation Download Citation

Azad Siahmakoun, Steven M. Blair, and Markus R. Weiss "Optical neural networks: an implementation", Proc. SPIE 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90, (1 March 1991); https://doi.org/10.1117/12.47755

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