Knowledge-Based Intelligent Techniques in Industry (International Series on Computational Intelligence, #1)

by Prof. Lakhmi C. Jain, R P Johnson, Yoshiyasu Takefuji, and Lofti A. Zadeh

Mo-Yuen Chow, Toshio Fukuda, Chris J. Harris, Jonathan M. Roberts, P. Edgar An, Jurgen Sauer, Jens Hiltner, Markus Jaeger, M. Moser, Christopher Tresp, Hans Hellendoorn, Rudolf Seising, Alberto Bellini, Riccardo Rovatti, Bo Li, Gregory Goddu, Naoyuki Kubota, Gary Weiss, John Eddy, Sholom Weiss, M. Kayama, A Martin Wildberger, and Michael Scheffler

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Book cover for Knowledge-Based Intelligent Techniques in Industry

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The successful development and deployment of expert system tools spurred the initial momentum in developing and using intelligent techniques in industry. The brittleness of expert systems and the enormous effort involved in the development and maintenance of knowledge bases prompted researchers to seek friendlier approaches. Neural networks, fuzzy logic, and evolutionary computing tools added a new dimension to the quest for more intelligent tools to supplement the capabilities of expert systems. In one volume, Knowledge-Based Intelligent Techniques in Industry comprehensively brings together the more important developments in the use of intelligent techniques in solving industrial problems.

The book's primary readership includes electrical engineers in industry as well as researchers working in computational intelligence research labs - outlining state-of-the-art techniques and cost-effective solutions.

Knowledge-Based Intelligent Techniques in Industry singularly reflects the increasing study of computational intelligence techniques for designing and monitoring complex, less predictable electrical or mechanical systems.

  • ISBN10 0849398037
  • ISBN13 9780849398032
  • Publish Date 28 September 1998
  • Publish Status Out of Print
  • Out of Print 3 April 2022
  • Publish Country US
  • Publisher Taylor & Francis Inc
  • Imprint CRC Press Inc
  • Format Hardcover
  • Pages 352
  • Language English