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Fuzzy and Neural: Interactions and Applications (Studies in Fuzziness and Soft Computing, 25) 🔍
Prof. James J. Buckley, Dr. Thomas Feuring (auth.) Physica-Verlag Heidelberg, Studies in Fuzziness and Soft Computing, Studies in Fuzziness and Soft Computing 25, 1, 1998
英语 [en] · PDF · 8.6MB · 1998 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/zlib · Save
描述
This book is about recent research area described as the intersection of fuzzy sets, (layered, feedforward) neural nets and evolutionary algorithms. Also called "soft computing". The treatment is elementary in that all "proofs" have been relegated to the references and the only mathematical prerequisite is elementary differential calculus. No previous knowledge of neural nets nor fuzzy sets is needed. Most of the discussion centers around the authors' own research in this area over the last ten years.
The book brings together results on: (1) approximations between neural nets and fuzzy systems; (2) building hybrid neural nets for fuzzy systems; (3) approximations between fuzzy neural nets for fuzzy systems. New results include the use of evolutionary algorithms to train fuzzy neural nets and the introduction of a "fuzzy teaching machine". The interaction between fuzzy and neural is also illustrated in the use of neural nets to solve fuzzy problems and the use of fuzzy neural nets to solve the "overfitting" problem of regular neural nets. Besides giving a comprehensive theoretical survey of these results the authors also survey the unsolved problems in this exciting, new, area of research.
备用文件名
lgrsnf/A:\compressed\10.1007%2F978-3-7908-1881-9.pdf
备用文件名
nexusstc/Fuzzy and Neural: Interactions and Applications/5b58f40074332252cd3593dc42f8c0c3.pdf
备用文件名
scihub/10.1007/978-3-7908-1881-9.pdf
备用文件名
zlib/Computers/Computer Science/Prof. James J. Buckley, Dr. Thomas Feuring (auth.)/Fuzzy and Neural: Interactions and Applications_2092655.pdf
备选作者
by James J. Buckley, Thomas Feuring
备选作者
Buckley, James J., Feuring, Thomas
备用出版商
Springer Spektrum. in Springer-Verlag GmbH
备用出版商
Physica-Verlag HD : Imprint: Physica
备用出版商
Steinkopff. in Springer-Verlag GmbH
备用出版商
Physica. in Springer-Verlag GmbH
备用版本
Studies in fuzziness and soft computing -- 25, Studies in fuzziness and soft computing -- 25., Heidelberg, Germany, 1998
备用版本
Studies in Fuzziness and Soft Computing, Softcover reprint of the original 1st ed. 1998, Heidelberg, Neckar, 2013
备用版本
Springer Nature, Heidelberg, 2013
备用版本
Germany, Germany
备用版本
1999, 2013
元数据中的注释
lg938777
元数据中的注释
{"container_title":"Studies in Fuzziness and Soft Computing","edition":"1","isbns":["3662118076","379081881X","9783662118078","9783790818819"],"issns":["1434-9922","1860-0808"],"last_page":162,"publisher":"Physica-Verlag HD","series":"Studies in Fuzziness and Soft Computing 25"}
元数据中的注释
Includes bibliographical references and index.
备用描述
The primary purpose of this book is to present information about selected topics on the interactions and applications of fuzzy + neural. Most of the discussion centers around our own research in these areas. Fuzzy + neural can mean many things: (1) approximations between fuzzy systems and neu ral nets (Chapter 4); (2) building hybrid neural nets to equal fuzzy systems (Chapter 5); (3) using neura.l nets to solve fuzzy problems (Chapter 6); (4) approximations between fuzzy neural nets and other fuzzy systems (Chap ter 8); (5) constructing hybrid fuzzy neural nets for certain fuzzy systems (Chapters 9, 10); or (6) computing with words (Chapter 11). This book is not intend to be used primarily as a text book for a course in fuzzy + neural because we have not included problems at the end of each chapter, we have omitted most proofs (given in the references), and we have given very few references. We wanted to keep the mathematical prerequisites to a minimum so all longer, involved, proofs were omitted. Elementary dif ferential calculus is the only prerequisite needed since we do mention partial derivatives once or twice.
Erscheinungsdatum: 13.11.2013
备用描述
Front Matter....Pages I-XIII
Introduction....Pages 1-2
Fuzzy Sets and Fuzzy Functions....Pages 3-19
Neural Nets....Pages 21-34
First Approximation Results....Pages 35-48
Hybrid Neural Nets....Pages 49-63
Neural Nets Solve Fuzzy Problems....Pages 65-75
Fuzzy Neural Nets....Pages 77-96
Second Approximation Results....Pages 97-110
Hybrid Fuzzy Neural Nets....Pages 111-117
Applications of Hybrid Fuzzy Neural Nets and Fuzzy Neural Nets....Pages 119-132
Fuzzy Teaching Machine....Pages 133-147
Summary, Future Research and Conclusions....Pages 149-157
Back Matter....Pages 159-161
开源日期
2013-08-01
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