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

by Cornelius T. Leondes

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

Synopses & Reviews

Publisher Comments:

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

Synopsis:

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.

Synopsis:

is volume of Neural Network Systems Techniques and Applications is devoted to the integration of Fuzzy Logic and Expert Systems Applications.

Table of Contents

nd Teng, Fuzzy Neural Network Systems in Model Reference Control Systems. Juditsky, Zhang, Delyon, Glorennec, and Benveniste, Wavelets in Identification.

Product Details

ISBN:
9780124438668
Editor:
Leondes, Cornelius T.
Publisher:
Academic Press
Editor:
Leondes, Cornelius T.
Author:
Leondes, Leondes, Cornelius T., Cornelius T.
Author:
Leondes, Cornelius
Author:
Leondes, Cornelius T.
Subject:
Engineering - General
Subject:
Expert Systems
Subject:
Expert systems (computer science)
Subject:
Networking - General
Subject:
Neural Networks
Subject:
Neural networks (computer science)
Subject:
Computer Science
Subject:
Artificial Intelligence
Series:
Neural Network Systems Techniques and Applications, Seven-Volume Set
Series Volume:
6
Publication Date:
December 1997
Binding:
Hardcover
Language:
English
Illustrations:
Y
Pages:
416
Dimensions:
9 x 6 in.

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