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Introduction to neuro-fuzzy systems

Author: Robert Fullér
Publisher: New York : Physica-Verlag, [2000] ©2000
Series: Advances in soft computing.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
"This book contains introductory material to neuro-fuzzy systems. Its main purpose is to explain the information processing in mostly-used fuzzy inference systems, neural networks and neuro-fuzzy systems." "Numerous models treated in the book will help the reader to design his own neuro-fuzzy system for his specific (managerial, industrial, financial) problem. The book can serve as a textbook for students in  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Fullér, Robert, 1958-
Introduction to neuro-fuzzy systems
(DLC) 99055292
(OCoLC)42765224
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Robert Fullér
ISBN: 9783790818529 3790818526
OCLC Number: 861705841
Description: 1 online resource (xii, 289 pages) : illustrations.
Contents: 1. Fuzzy systems. 1.1. An introduction to fuzzy logic. 1.2. Operations on fuzzy sets. 1.3. Fuzzy relations. 1.4. The extension principle. 1.5. The extension principle for n-place functions. 1.6. Metrics for fuzzy numbers. 1.7. Measures of possibility and necessity. 1.8. Fuzzy implications. 1.9. Linguistic variables. 1.9.1. The linguistic variable Truth. 1.10. The theory of approximate reasoning. 1.11. An introduction to fuzzy logic controllers. 1.12. Defuzzification methods. 1.13. Inference mechanisms. 1.14. Construction of data base and rule base of FLC. 1.15. The ball and beam problem. 1.16. Aggregation in fuzzy system modeling. 1.17. Averaging operators. 1.18. Fuzzy screening systems. 1.19. Applications of fuzzy systems.
Series Title: Advances in soft computing.
Responsibility: Robert Fullér.
More information:

Abstract:

"This book contains introductory material to neuro-fuzzy systems. Its main purpose is to explain the information processing in mostly-used fuzzy inference systems, neural networks and neuro-fuzzy systems." "Numerous models treated in the book will help the reader to design his own neuro-fuzzy system for his specific (managerial, industrial, financial) problem. The book can serve as a textbook for students in computer and management sciences who are interested in adaptive technologies."--Jacket.

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