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Proceedings Paper

Competitive Optoelectronic Learning Networks
Author(s): Kelvin H Wagner; Richard E Feinleib
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Paper Abstract

Electronic competiton for a fixed current resource can be used to mediate a winner-take-all operation on an array of optical beams, using a special-purpose optoelectronic integrated circuit containing modulators and detectors. Reflective competiton between an array of optical beams is proposed as the basis for an unsupervised, competitive optical learning architecture. It is suggested that self-aligning, adaptive interconnection holograms can be written in photorefractive crystals which are repeatedly exposed to the interference between phase-conjugated object waves and competitively produced reference beams. As statistically clustered patterns are input to the optical network, specific output nodes should learn to respond to the various classes of input without supervision.

Paper Details

Date Published: 3 May 1988
PDF: 11 pages
Proc. SPIE 0882, Neural Network Models for Optical Computing, (3 May 1988); doi: 10.1117/12.944116
Show Author Affiliations
Kelvin H Wagner, University of Arizona (United States)
Richard E Feinleib, University of Arizona (United States)

Published in SPIE Proceedings Vol. 0882:
Neural Network Models for Optical Computing
Ravindra A. Athale; Joel Davis, Editor(s)

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