Neural Network Systems Techniques and Applications, Fuzzy Logic and Expert Systems Applications, Volume 6

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9780124438668: Neural Network Systems Techniques and Applications, Fuzzy Logic and Expert Systems Applications, Volume 6

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

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From the Back Cover:

Inspired by the structure of the human brain, artificial neural networks have found many applications due to their ability to solve cumbersome or intractable problems by learning directly from data. Neural networks can adapt to new environments by learning, and deal with information that is noisy, inconsistent, vague, or probabilistic. This volume of Neural Network Systems Techniques and Applications is devoted to the integration of Fuzzy Logic and Expert Systems Applications.

About the Author:

Cornelius T. Leondes received his B.S., M.S., and Ph.D. from the University of Pennsylvania and has held numerous positions in industrial and academic institutions. He is currently a Professor Emeritus at the University of California, Los Angeles. He has also served as the Boeing Professor at the University of Washington and as an adjunct professor at the University of California, San Diego. He is the author, editor, or co-author of more than 100 textbooks and handbooks and has published more than 200 technical papers. In addition, he has been a Guggenheim Fellow, Fulbright Research Scholar, IEEE Fellow, and a recipient of IEEE's Baker Prize Award and Barry Carlton Award.

Cornelius T. Leondes received his B.S., M.S., and Ph.D. from the University of Pennsylvania and has held numerous positions in industrial and academic institutions. He is currently a Professor Emeritus at the University of California, Los Angeles. He has also served as the Boeing Professor at the University of Washington and as an adjunct professor at the University of California, San Diego. He is the author, editor, or co-author of more than 100 textbooks and handbooks and has published more than 200 technical papers. In addition, he has been a Guggenheim Fellow, Fulbright Research Scholar, IEEE Fellow, and a recipient of IEEE's Baker Prize Award and Barry Carlton Award.

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Book Description Elsevier Science Publishing Co Inc, United States, 1998. Hardback. Book Condition: New. 236 x 159 mm. Language: English . Brand New Book. 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. Bookseller Inventory # AAZ9780124438668

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Leondes, Cornelius T.
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Book Description Elsevier Science Publishing Co Inc, United States, 1998. Hardback. Book Condition: New. 236 x 159 mm. Language: English . Brand New Book. 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. Bookseller Inventory # AAZ9780124438668

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Book Description Elsevier Science Publishing Co Inc. Hardback. Book Condition: new. BRAND NEW, Fuzzy Logic and Expert Systems Applications, Cornelius T. Leondes, Cornelius T. Leondes, 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. Bookseller Inventory # B9780124438668

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Book Description Academic Press, 1997. Book Condition: New. Covers the integration of fuzzy logic and expert systems. This work provides 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; and more. Series Editor(s): Leondes, Cornelius T. Series: Neural Network Systems Techniques and Applications. Num Pages: 416 pages, 1 illustration. BIC Classification: PBWX; UGK; UYQE. Category: (P) Professional & Vocational. Dimension: 236 x 157 x 30. Weight in Grams: 750. . 1997. 1st Edition. Hardcover. . . . . . Bookseller Inventory # V9780124438668

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Book Description Academic Press. Book Condition: New. Covers the integration of fuzzy logic and expert systems. This work provides 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; and more. Series Editor(s): Leondes, Cornelius T. Series: Neural Network Systems Techniques and Applications. Num Pages: 416 pages, 1 illustration. BIC Classification: PBWX; UGK; UYQE. Category: (P) Professional & Vocational. Dimension: 236 x 157 x 30. Weight in Grams: 750. . 1997. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Bookseller Inventory # V9780124438668

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