Psaltis, Demetri and Farhat, Nabil (1985) Optical information processing based on an associative-memory model of neural nets with thresholding and feedback. Optics Letters, 10 (2). pp. 98-100. ISSN 0146-9592 http://resolver.caltech.edu/CaltechAUTHORS:PSAol85
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Abstract
The remarkable collective computational properties of the Hopfield model for neural networks [Proc. Nat. Acad. Sci. USA 79, 2554 (1982)] are reviewed. These include recognition from partial input, robustness, and error-correction capability. Features of the model that make its optical implementation attractive are discussed, and specific optical implementation schemes are given.
| Item Type: | Article |
|---|---|
| Additional Information: | © Copyright 1985 Optical Society of America Received July 9, 1984; accepted November 15, 1984 The authors thank John Hong and Yaser Abu-Mostafa for many helpful discussions on this subject. |
| Record Number: | CaltechAUTHORS:PSAol85 |
| Persistent URL: | http://resolver.caltech.edu/CaltechAUTHORS:PSAol85 |
| Alternative URL: | http://www.opticsinfobase.org/abstract.cfm?URI=ol-10-2-98 |
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. |
| ID Code: | 3265 |
| Collection: | CaltechAUTHORS |
| Deposited By: | Archive Administrator |
| Deposited On: | 25 May 2006 |
| Last Modified: | 26 Dec 2012 08:53 |
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