| 書目名稱 | Flexible Neuro-Fuzzy Systems | | 副標題 | Structures, Learning | | 編輯 | Leszek Rutkowski | | 視頻video | http://file.papertrans.cn/345/344256/344256.mp4 | | 叢書名稱 | The Springer International Series in Engineering and Computer Science | | 圖書封面 |  | | 描述 | .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.. | | 出版日期 | Book 2004 | | 關鍵詞 | algorithms; classification; fuzzy; fuzzy system; fuzzy systems; learning; modeling; robot; robotics; simulati | | 版次 | 1 | | doi | https://doi.org/10.1007/b115533 | | isbn_softcover | 978-1-4757-7932-5 | | isbn_ebook | 978-1-4020-8043-2Series ISSN 0893-3405 | | issn_series | 0893-3405 | | copyright | Springer Science+Business Media New York 2004 |
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