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Learning in large optical networks

Qiao, Yong and Psaltis, Demetri (1992) Learning in large optical networks. In: Applications of Artificial Neural Networks III. Proceedings of SPIE. No.1709. Society of Photo-Optical Instrumentation Engineers , Bellingham, WA, pp. 626-628. ISBN 9780819408747.

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In a holographic optical learning network, the decay of multiply exposed holographic interconnections can adversely affect the training of the network. A new dynamic photorefractive holographic memory is described that allows an arbitrarily long sequence of adaptations by rejuvenating decayed holograms with a simple all-optical feedback loop.

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Additional Information:© 1992 SPIE. This work was supported by DARPA and the Air Force Office of Scientific Research.
Funding AgencyGrant Number
Defense Advanced Research Projects Agency (DARPA)UNSPECIFIED
Air Force Office of Scientific Research (AFOSR)UNSPECIFIED
Series Name:Proceedings of SPIE
Issue or Number:1709
Record Number:CaltechAUTHORS:20170810-095455562
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Official Citation:Yong Qiao ; Demetri Psaltis; Learning in large optical networks. Proc. SPIE 1709, Applications of Artificial Neural Networks III, 626 (September 16, 1992); doi:10.1117/12.140042
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:80064
Deposited By: Tony Diaz
Deposited On:09 Mar 2020 14:56
Last Modified:15 Nov 2021 17:52

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