Optical neural networks based on photorefractive beam fanning

Bernard H. Soffer; Yuri Owechko

doi:10.1117/12.166017

21 January 1994 Optical neural networks based on photorefractive beam fanning

Bernard H. Soffer, Yuri Owechko

Proceedings Volume 2051, International Conference on Optical Information Processing; (1994) https://doi.org/10.1117/12.166017
Event: Optical Information Processing: International Conference, 1993, St. Petersburg, Russian Federation

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.

Citation Download Citation

Bernard H. Soffer and Yuri Owechko "Optical neural networks based on photorefractive beam fanning", Proc. SPIE 2051, International Conference on Optical Information Processing, (21 January 1994); https://doi.org/10.1117/12.166017

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available