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Proceedings Paper

Soft computing applications: the advent of hybrid systems
Author(s): Piero P. Bonissone
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Paper Abstract

Soft computing is a new field of computer sciences that deals with the integration of problem- solving technologies such as fuzzy logic, probabilistic reasoning, neural networks, and genetic algorithms. Each of these technologies provide us with complementary reasoning and searching methods to solve complex, real-world problems. We will analyze some of the most synergistic combinations of self computing technologies, with an emphasis on the development of smart algorithm-controllers, such as the use of FL to control GAs and NNs parameters. We will also discuss the application of GAs to evolve NNs or tune FL controllers; and the implementation of FL controllers as NNs tuned by backpropagation-type algorithms. We will conclude with a detailed description of a GA-tuned fuzzy controller to implement a train handling control.

Paper Details

Date Published: 13 October 1998
PDF: 16 pages
Proc. SPIE 3455, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation, (13 October 1998); doi: 10.1117/12.326733
Show Author Affiliations
Piero P. Bonissone, GE Corporate Research and Development Ctr. (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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