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Proceedings Paper

All-optical video alarm system uses SLRs to demonstrate unsupervised learning
Author(s): Alastair D. McAulay; Junqing Wang
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Paper Abstract

An all-optical video alarm system was constructed and tested to demonstrate unsupervised learning. Previously we showed experimental results in which Hebbian learning was used in a supervised learning system for optical heteroassociative memory. We show the relation between Perceptron learning and supervised Hebbian learning and then show how the latter may be evolved into the unsupervised Hebbian learning used in this paper. The concept is first explained using an optical perceptron like set up with a delay and a spatial light modulator made of electron trapping material. The delay is accomplished using two SLRs. Two cycles are used in a folded system so that the same image intensifier/liquid crystal light valve combination may be used for reading both SLRs. Experimental results show the correct functioning of the system.

Paper Details

Date Published: 29 September 1994
PDF: 6 pages
Proc. SPIE 2297, Photonics for Processors, Neural Networks, and Memories II, (29 September 1994); doi: 10.1117/12.187278
Show Author Affiliations
Alastair D. McAulay, Lehigh Univ. (United States)
Junqing Wang, Lehigh Univ. (United States)

Published in SPIE Proceedings Vol. 2297:
Photonics for Processors, Neural Networks, and Memories II
Joseph L. Horner; Bahram Javidi; Stephen T. Kowel, Editor(s)

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