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An optical neural network used for content addressable two-dimensional associative memory
Author(s): Yanping Sun
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Paper Abstract

An optical neural network system used for content addressable 2-D associative memory has been demonstrated. A liquid crystal light valve (LCLV) is employed as a 2-D parallel thresholding and feedback device. The interconnections of the network are realized with a specially prepared hologram. When one of the stored images, even if only less than half of the image, appears at the input plane, the system can recognize and give a complete retrieval of the input image.

Paper Details

Date Published: 4 December 2017
PDF: 3 pages
Proc. SPIE 1230, International Conference on Optoelectronic Science and Engineering '90, 123078 (4 December 2017); doi: 10.1117/12.2294897
Show Author Affiliations
Yanping Sun, Nankai Univ. (China)


Published in SPIE Proceedings Vol. 1230:
International Conference on Optoelectronic Science and Engineering '90
DaHeng Wang, Editor(s)

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