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Proceedings Paper

Pattern recognition, neural networks, fuzzy control: what's next?
Author(s): James C. Bezdek
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Paper Abstract

I discuss four technologies : fuzzy pattern recognition (numerical and syntactic), computational neural networks, and fuzzy control. I'm not sure what a critical review is, so let me warn you that this is not a survey of recent or important work in any of these fields. Infant technologies usually develop a lot of internal structure before they reach out towards applications in companion fields. The purpose of this article is to assess the maturation of these disciplines by giving two examples of cross fertilization between control and pattern recognition. First, I illustrate the use of pattern recognition - fuzzy clustering and feed forward neural networks - to help develop and represent fuzzy controllers. And second, I give an example of wave form analysis by syntactic pattern recognition that uses fuzzy control logic. I concludes with some ideas about what should happen next - and what may happen next - in terms of hybridization between the four disciplines.

Paper Details

Date Published: 1 March 1994
PDF: 30 pages
Proc. SPIE 10277, Adaptive Computing: Mathematics, Electronics, and Optics: A Critical Review, 102770C (1 March 1994); doi: 10.1117/12.171190
Show Author Affiliations
James C. Bezdek, Univ. of West Florida (United States)


Published in SPIE Proceedings Vol. 10277:
Adaptive Computing: Mathematics, Electronics, and Optics: A Critical Review
Su-Shing Chen; H. John Caulfield, Editor(s)

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