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 | |||||||||
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Additional Information: | © 1992 SPIE. This work was supported by DARPA and the Air Force Office of Scientific Research. | |||||||||
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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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