Fuzzy logic and expert systems applications /
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...
| Основен автор: | Leondes, Cornelius T. |
|---|---|
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
San Diego :
Academic Press,
℗♭1998.
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| Серия: |
Neural network systems, techniques, and applications ;
v. 6. |
| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=210394 |
| Подобни документи: |
Print version::
Fuzzy logic and expert systems applications. |
| Резюме: |
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. |
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| Физически характеристики: |
1 online resource (xix, 416 pages) : illustrations. |
| Библиография: |
Includes bibliographical references and indexes. |
| ISBN: |
9780080553191 0080553192 1281049735 9781281049735 |