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E-book
Author Leondes, Cornelius T.

Title Fuzzy logic and expert systems applications / edited by Cornelius T. Leondes
Published San Diego : Academic Press, [1998]
©1998
Online access available from:
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Description 1 online resource (xix, 416 pages) : illustrations
Series Neural network systems, techniques, and applications ; v. 6
Neural network systems, techniques, and applications ; v. 6
Contents Fuzzy neural networks techniques and their applications / Hisao Ishibuchi and Manabu Nii -- Implementation of fuzzy systems / Chu Kwong Chak, Gang Feng, and Marimuthu Palaniswami -- Neural networks and rule-based systems / Aldo Aiello, Ernesto Burattini, and Guglielmo Tamburrini -- Construction of rule-based intelligent systems / Graham P. Fletcher and Chris J. Hinde -- Expert systems in soft computing paradigm / Sankar K. Pal and Sushmita Mitra -- Mean-value-based functional reasoning techniques in the development of fuzzy-neural network control systems / Keigo Watanabe and Spyros G. Tzafestas -- Fuzzy neural network systems in model reference control systems / Yie-Chien Chen and Ching-Cheng Teng -- Wavelets in identification / A. Juditsky [and others]
Summary 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 include: 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
Bibliography Includes bibliographical references and indexes
Notes Print version record
Subject Expert systems (Computer science)
Fuzzy logic.
Neural networks (Computer science)
Form Electronic book
ISBN 0080553192 (electronic bk.)
1281049735
9780080553191 (electronic bk.)
9781281049735