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
See Usage Policy.
Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:PSAol85
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.
|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.|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Archive Administrator|
|Deposited On:||25 May 2006|
|Last Modified:||26 Dec 2012 08:53|
Repository Staff Only: item control page