Published September 16, 1992
| Published
Book Section - Chapter
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Learning in large optical networks
- Creators
- Qiao, Yong
- Psaltis, Demetri
- Other:
- Rogers, Steven K.
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.
Additional Information
© 1992 SPIE. This work was supported by DARPA and the Air Force Office of Scientific Research.Attached Files
Published - 626_1.pdf
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626_1.pdf
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Additional details
- Eprint ID
- 80064
- Resolver ID
- CaltechAUTHORS:20170810-095455562
- Defense Advanced Research Projects Agency (DARPA)
- Air Force Office of Scientific Research (AFOSR)
- Created
-
2020-03-09Created from EPrint's datestamp field
- Updated
-
2021-11-15Created from EPrint's last_modified field
- Series Name
- Proceedings of SPIE
- Series Volume or Issue Number
- 1709