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Proceedings Paper

Content-addressable polychromatic neural net using a specially doped LiNbO3 photorefractive crystal
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Paper Abstract

In this paper, a polychromatic neural net using a specially doped LiNbO3 photorefractive crystal is presented. This neural net is a two-level high-content addressable memory. The first level is a polychromatic Hamming net for color image classification, and the second level is a mapping net, based on a photorefractive crystal associative memory. The major advantage of this neural net must be the large storage capacity and it requires fewer interconnection links. Experimental demonstrations are provided, in which we have shown that the proposed neural net is consistent with the theoretical model.

Paper Details

Date Published: 25 October 1993
PDF: 11 pages
Proc. SPIE 1959, Optical Pattern Recognition IV, (25 October 1993); doi: 10.1117/12.160314
Show Author Affiliations
Francis T. S. Yu, The Pennsylvania State Univ. (United States)
Shizhuo Yin, The Pennsylvania State Univ. (United States)
Chii-Maw Uang, The Pennsylvania State Univ. (Taiwan)


Published in SPIE Proceedings Vol. 1959:
Optical Pattern Recognition IV
David P. Casasent, Editor(s)

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