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Proceedings Paper

Fuzzy sets and neurocomputation: knowledge-based networks
Author(s): Witold Pedrycz
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Paper Abstract

Fuzzy neural networks combining advantages of numerical computations of neural networks and symbolic processing originating from artificial intelligence are typical constructs of computational intelligence. The paper analyzes basic processing components (fuzzy neurons), proposes several general architectures, elaborates on learning algorithms, and provides a series of application cases.

Paper Details

Date Published: 13 June 1995
PDF: 19 pages
Proc. SPIE 2493, Applications of Fuzzy Logic Technology II, (13 June 1995); doi: 10.1117/12.211789
Show Author Affiliations
Witold Pedrycz, Univ. of Manitoba (Canada)

Published in SPIE Proceedings Vol. 2493:
Applications of Fuzzy Logic Technology II
Bruno Bosacchi; James C. Bezdek, Editor(s)

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