Fuzzy Logic and Expert Systems Applications

Nonfiction, Computers, Advanced Computing, Engineering, Neural Networks, Programming, Software Development, Science & Nature, Technology
Cover of the book Fuzzy Logic and Expert Systems Applications by Cornelius T. Leondes, Cornelius T. Leondes, Elsevier Science
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Author: Cornelius T. Leondes, Cornelius T. Leondes ISBN: 9780080553191
Publisher: Elsevier Science Publication: February 9, 1998
Imprint: Academic Press Language: English
Author: Cornelius T. Leondes, Cornelius T. Leondes
ISBN: 9780080553191
Publisher: Elsevier Science
Publication: February 9, 1998
Imprint: Academic Press
Language: English

This volume covers the integration of fuzzy logic and expert systems. A vital resource in the field, it includes techniques for applying fuzzy systems to neural networks for modeling and control, systematic design procedures for realizing fuzzy neural systems, techniques for the design of rule-based expert systems using the massively parallel processing capabilities of neural networks, the transformation of neural systems into rule-based expert systems, the characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets, and applications to system identification and control as well as nonparametric, nonlinear estimation. Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will appreciate this reference source to diverse application methodologies.

  • Fuzzy system techniques applied to neural networks for modeling and control
  • Systematic design procedures for realizing fuzzy neural systems
  • Techniques for the design of rule-based expert systems
  • Characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets
  • System identification and control
  • Nonparametric, nonlinear estimation

Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will find this volume a unique and comprehensive reference to these diverse application methodologies

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This volume covers the integration of fuzzy logic and expert systems. A vital resource in the field, it includes techniques for applying fuzzy systems to neural networks for modeling and control, systematic design procedures for realizing fuzzy neural systems, techniques for the design of rule-based expert systems using the massively parallel processing capabilities of neural networks, the transformation of neural systems into rule-based expert systems, the characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets, and applications to system identification and control as well as nonparametric, nonlinear estimation. Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will appreciate this reference source to diverse application methodologies.

Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will find this volume a unique and comprehensive reference to these diverse application methodologies

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