Fuzzy Logic and Expert Systems Applications (Neural Network Systems Techniques and Applications) (Hardback)
$139.49 - Free shipping worldwide (to United States and
all these other countries) Usually dispatched within 48 hours | |Short Description for Fuzzy Logic and Expert Systems Applications 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.
Full description- Publisher: Academic Press Inc
- Published: 09 February 1998
- Format: Hardback 416 pages
- See: Full bibliographic data
- Categories: Fuzzy Set Theory | Electrical Engineering | Communications Engineering / Telecommunications | 3D Graphics & Modelling | Computer Networking & Communications | Expert Systems / Knowledge-based Systems | Neural Networks & Fuzzy Systems
- ISBN 13: 9780124438668 ISBN 10: 0124438660
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Full description for 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 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.
