13 October 1998 Ongoing applications of soft computing technologies to real-world problems at Physical Optics Corporation
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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.
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Andrew A. Kostrzewski, Dai Hyun Kim, Tomasz P. Jannson, Gajendra D. Savant, Jeongdal Kim, Judy Chen, "Ongoing applications of soft computing technologies to real-world problems at Physical Optics Corporation", Proc. SPIE 3455, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation, (13 October 1998); doi: 10.1117/12.326707; https://doi.org/10.1117/12.326707
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