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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. https://resolver.caltech.edu/CaltechAUTHORS:20170810-095455562

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Abstract

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.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1117/12.140042DOIArticle
http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=992808PublisherArticle
Additional Information:© 1992 SPIE. This work was supported by DARPA and the Air Force Office of Scientific Research.
Funders:
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
DOI:10.1117/12.140042
Record Number:CaltechAUTHORS:20170810-095455562
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170810-095455562
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
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:09 Mar 2020 14:56
Last Modified:15 Nov 2021 17:52

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