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Proceedings Paper

Ongoing applications of soft computing technologies to real-world problems at Physical Optics Corporation
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Paper Abstract

Soft computing is a set of promising computational tools for solving problems that are inherently well solved by humans but not by standard computing means. This paper presents an overview of R and D activities at Physical Optics Corporation in the area of soft computing. The company has been involved in soft computing for over ten years, and has pioneered several soft-computing methodologies, including fuzzied genetic algorithms and neuro-fuzzy networks. Several practical implementations of soft computing are discussed.

Paper Details

Date Published: 13 October 1998
PDF: 4 pages
Proc. SPIE 3455, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation, (13 October 1998); doi: 10.1117/12.326707
Show Author Affiliations
Andrew A. Kostrzewski, Physical Optics Corp. (United States)
Dai Hyun Kim, Physical Optics Corp. (United States)
Tomasz P. Jannson, Physical Optics Corp. (United States)
Gajendra D. Savant, Physical Optics Corp. (United States)
Jeongdal Kim, Los Anageles Metropolitan Water District (United States)
Judy Chen, Physical Optics Corp. (United States)

Published in SPIE Proceedings Vol. 3455:
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation
Bruno Bosacchi; David B. Fogel; James C. Bezdek, Editor(s)

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