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upload/misc/Y9EgLx762wKqWqG7nloH/Books/Gentoomen Library/Artificial Intelligence/Fuzzy systems/Neuro-Fuzzy and Soft Computing A Computational Approach to Learning and Machine Intelligence - Jyh-Shing Roger Jang.djvu
Neuro-fuzzy and soft computing : a computational approach to learning and machine intelligence 🔍
Jyh-Shing Roger Jang, Chuen-Tsai Sun, Eiji Mizutani Prentice Hall, MATLAB curriculum series, Upper Saddle River, NJ, New Jersey, 1997
英语 [en] · DJVU · 7.3MB · 1997 · 📘 非小说类图书 · 🚀/duxiu/lgli/lgrs/nexusstc/upload/zlib · Save
描述
Neuro-Fuzzy and Soft Computing provides the first comprehensive treatment of the constituent methodologies underlying neuro-fuzzy and soft computing, an evolving branch of computational intelligence. The constituent methodologies include fuzzy set theory, neural networks, data clustering techniques, and several stochastic optimization methods that do not require gradient information. In particular, the authors put equal emphasis on theoretical aspects of covered methodologies, as well as empirical observations and verifications of various applications in practice. The book is well suited for use as a text for courses on computational intelligence and as a single reference source for this emerging field. To help readers understand the material the presentation includes more than 50 examples, more than 150 exercises, over 300 illustrations, and more than 150 Matlab scripts. In addition, Matlab is utilized to visualize the processes of fuzzy reasoning, neural-network learning, neuro-fuzzy integration and training, and gradient-free optimization (such as genetic algorithms, simulated annealing, random search, and downhill Simplex method). The presentation also makes use of SIMULINK for neuro-fuzzy control system simulations. All Matlab scripts used in the book are available on the free companion software disk that may be ordered by using the enclosed reply card. The book also contains an "Internet Resource Page" to point the reader to on-line neuro-fuzzy and soft computing home pages, publications, public-domain software, research institutes, news groups, etc.
备用文件名
lgli/Cs_Computer science/CsAi_AI, knowledge/Jang J.-S.R., Sun C.-T., Mizutani E. Neuro-fuzzy and soft computing.. a computational approach to learning and machine intelligence (PH, 1997)(400dpi)(T)(ISBN 0132610663)(640s).djvu
备用文件名
lgrsnf/Cs_Computer science/CsAi_AI, knowledge/Jang J.-S.R., Sun C.-T., Mizutani E. Neuro-fuzzy and soft computing.. a computational approach to learning and machine intelligence (PH, 1997)(400dpi)(T)(ISBN 0132610663)(640s).djvu
备用文件名
nexusstc/Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence/2b7d1091a3d9f82b3154d1a666bbfb86.djvu
备用文件名
zlib/Computers/Computer Science/Jyh-Shing Roger Jang, Chuen-Tsai Sun, Eiji Mizutani/Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence_437002.djvu
备选标题
Numerology, or, What Pythagoras wrought
备选作者
Jang, Jyh-Shing Roger, Sun, Chuen-Tsai, Mizutani, Eiji
备选作者
Underwood Dudley
备用出版商
Mathematical Association of America
备用出版商
Globe Fearon Educational Publishing
备用出版商
MATLAB CURRICULUM SERIES
备用出版商
Pearson College Div
备用出版商
Longman Publishing
备用出版商
Cengage Gale
备用版本
United States, United States of America
备用版本
MAA spectrum, Washington, DC, ©1997
备用版本
US Ed edition, September 26, 1996
备用版本
US Ed, US, 1997
备用版本
1, 1997
元数据中的注释
Kolxo3 -- 7
元数据中的注释
lg652
元数据中的注释
{"edition":"us ed","isbns":["0132610663","9780132610667"],"last_page":640,"publisher":"Prentice Hall"}
元数据中的注释
Includes bibliographical references and index.
备用描述
<p><p>neuro-fuzzy Modeling And Soft Computing Places Particular Emphasis On The Theoretical Aspects Of Covered Methodologies, As Well As Empirical Observations And Verifications Of Various Applications In Practice.<p>neuro-fuzzy Modeling And Soft Computing Is Oriented Toward Methodologies That Are Likely To Be Of Practical Use. It Includes Exercises, Some Of Which Involve Matlab Programming Tasks To Provide Readers With Hands-on Programming Experiences For Practical Problem-solving. Each Chapter Also Includes A Reference List To The Research Literature So That Readers May Pursue Topics In Greater Depth.<p>this Book Is Suitable As A Self-study Guide By Researchers Who Want To Learn Basic And Advanced Neuro-fuzzy And Soft Computing Within The Framework Of Computational Intelligence.</p> <h3>booknews</h3> <p>unlike Traditional, Hard Computing, This Field Aims To Accommodate The Pervasive Imprecision Of The Real World, Using The Human Mind As Its Role Model. Intended For Use As A Graduate Level Text, Or A Self- Study Guide For Students And Researchers, This Book Presents An Introduction To The Field, And Then Covers Fuzzy Set Theory, Regression And Optimization, Neutral Networks, Neuro-fuzzy Modeling And Controls, And Advanced Applications. It Also Includes Hints To Selected Exercises, And Lists Of Internet Resources, Matlab Programs, And Acronyms. Contains An Offer For Free Companion Software. Annotation C. Book News, Inc., Portland, Or (booknews.com)</p>
备用描述
In addition, Matlab is utilized to visualize the processes of fuzzy reasoning, neural-network learning, neuro-fuzzy integration and training, and gradient-free optimization (such as genetic algorithms, simulated annealing, random search, and downhill Simplex method). The presentation also makes use of SIMULINK for neuro-fuzzy control system simulations. All Matlab scripts used in the book are available on the free companion software disk that may be ordered by using the enclosed reply card. The book also contains an "Internet Resource Page" to point the reader to on-line neuro-fuzzy and soft computing home pages, publications, public-domain software, research institutes, news groups, etc. All the HTTP and FTP addresses are available as a bookmark file on the companion software disk
备用描述
"Neuro-Fuzzy Modeling and Soft Computing" places particular emphasis on the theoretical aspects of covered methodologies, as well as empirical observations and verifications of various applications in practice. "Neuro-Fuzzy Modeling and Soft Computing" is oriented toward methodologies that are likely to be of practical use. It includes exercises, some of which involve MATLAB programming tasks to provide readers with hands-on programming experiences for practical problem-solving. Each chapter also includes a reference list to the research literature so that readers may pursue topics in greater depth. This book is suitable as a self-study guide by researchers who want to learn basic and advanced neuro-fuzzy and soft computing within the framework of computational intelligence.
备用描述
"Numerology is about numerology, which is the delusion that numbers have power over events. ... The message of the book is that numbers indeed have power, but the power is not over events, it is over the human minds. It is intended for anyone interested in human folly and requires no mathematical knowledge beyond arithmetic to understand."--Cover
备用描述
xxvi, 614 p. : 24 cm
开源日期
2009-07-20
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