Flexible neuro-fuzzy systems :structures, learning, and performance evaluation
- 作者: Rutkowski, Leszek.
- 出版: Boston : Kluwer Academic Publishers ©2004.
- 稽核項: 1 online resource (xiii, 279 pages) :illustrations.
- 叢書名: Kluwer international series in engineering and computer science ;SECS 771
- 標題: Neural Networks. , COMPUTERS Neural Networks. , Neural Networks, Computer , COMPUTERS , Fuzzy systems. , Neural networks (Computer science) , Réseaux neuronaux (Informatique) , Electronic books. , Systèmes flous.
- ISBN: 1402080433 , 9781402080432
- ISBN: 9781402080425 , 1402080425
- 試查全文@TNUA:
- 附註: Includes bibliographical references (pages 265-276) and index. Foreword -- 1. Introduction -- 2. Elements Of The Theory Of Fuzzy Sets -- 3. Fuzzy Inference Systems -- 4. Flexibility In Fuzzy Systems -- 5. Flexible Or-Type Neuro-Fuzzy Systems -- 6. Flexible Compromise And-Type Neuro-Fuzzy Systems -- 7. Flexible Mamdani-Type Neuro-Fuzzy Systems -- 8. Flexible Logical-Type Neuro-Fuzzy Systems -- 9. Performance Comparison Of Neuro-Fuzzy Systems -- Appendix -- Bibliography -- Index.
- 摘要: Flexible Neuro-Fuzzy Systems is the first professional literature about the new class of powerful, flexible fuzzy systems. The author incorporates various flexibility parameters to the construction of neuro-fuzzy systems. This approach dramatically improves their performance, allowing the systems to perfectly represent the pattern encoded in data. Flexible Neuro-Fuzzy Systems is the only book that proposes a flexible approach to fuzzy modeling and fills the gap in existing literature. This book introduces new fuzzy systems which outperform previous approaches to system modeling and classification, and has the following features: -Provides a framework for unification, construction and development of neuro-fuzzy systems; -Presents complete algorithms in a systematic and structured fashion, facilitating understanding and implementation, -Covers not only advanced topics but also fundamentals of fuzzy sets, -Includes problems and exercises following each chapter, -Illustrates the results on a wide variety of simulations, -Provides tools for possible applications in business and economics, medicine and bioengineering, automatic control, robotics and civil engineering.
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=114047
- 系統號: 005309583
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
Flexible Neuro-Fuzzy Systems is the first professional literature about the new class of powerful, flexible fuzzy systems. The author incorporates various flexibility parameters to the construction of neuro-fuzzy systems. This approach dramatically improves their performance, allowing the systems to perfectly represent the pattern encoded in data. Flexible Neuro-Fuzzy Systems is the only book that proposes a flexible approach to fuzzy modeling and fills the gap in existing literature. This book introduces new fuzzy systems which outperform previous approaches to system modeling and classification, and has the following features: -Provides a framework for unification, construction and development of neuro-fuzzy systems; -Presents complete algorithms in a systematic and structured fashion, facilitating understanding and implementation, -Covers not only advanced topics but also fundamentals of fuzzy sets, -Includes problems and exercises following each chapter, -Illustrates the results on a wide variety of simulations, -Provides tools for possible applications in business and economics, medicine and bioengineering, automatic control, robotics and civil engineering.
來源: Google Book
來源: Google Book
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