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Fuzzy Logic and Expert Systems Applications (Neural Network Systems Techniques and Applications) (Neural Network Systems Techniques and Applications)

Creator: Cornelius T. Leondes
Publisher: Academic Press
Category: Book

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Sales Rank: 704983

Media: Hardcover
Edition: 1st
Pages: 416
Number Of Items: 1
Shipping Weight (lbs): 1.9
Dimensions (in): 9.3 x 6.3 x 1

ISBN: 0124438660
Dewey Decimal Number: 006
EAN: 9780124438668
ASIN: 0124438660

Publication Date: January 15, 1998
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Also Available In:

•	Unknown Binding - Fuzzy logic and expert systems applications (Neural network systems, techniques, and applications)
•	Digital - Fuzzy Logic and Expert Systems Applications (Neural Network Systems Techniques and Applications) (Neural Network Systems Techniques and Applications)

Editorial Reviews:

Product Description
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.

Key Features
* 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