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Proceedings Paper

Parallel optical fuzzy logic inference using improved fuzzy associative memories
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Paper Abstract

A new optoelectronic fuzzy inference system is proposed for processing a large number of fuzzy rules in parallel. The proposed system using spatial light modulator implements various membership functions as well as max-min inference. It has the features of easy implementation and large data processing capability. The membership function decomposition method in the improved fuzzy associative memory is used to save both space bandwidth and accommodate multiple-input fuzzy inference.

Paper Details

Date Published: 1 October 1999
PDF: 9 pages
Proc. SPIE 3805, Photonic Devices and Algorithms for Computing, (1 October 1999); doi: 10.1117/12.363987
Show Author Affiliations
ShuQun Zhang, Univ. of Dayton (United States)
Mohammad A. Karim, Univ. of Tennessee/Knoxville (United States)


Published in SPIE Proceedings Vol. 3805:
Photonic Devices and Algorithms for Computing
Khan M. Iftekharuddin; Abdul Ahad Sami Awwal, Editor(s)

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