Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence

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Prentice Hall, 1997 - Science - 614 pages
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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.

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Jang 1997

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Contents

Introduction to NeuroFuzzy and Soft Computing
1
Fuzzy Sets
13
Fuzzy Rules and Fuzzy Reasoning
47
Copyright

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Neuro-Fuzzy and Soft Computing
Quotes:. " Neuro-Fuzzy and Soft Computing is a thoroughly up-to-date text with a wealth of information which is well-organized, clearly presented, ...
neural.cs.nthu.edu.tw/ jang/ book/

Neuro-fuzzy And Soft Computing: A Computational Approach To ...
IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 8, NO. 5, SEPTEMBER 1997. 1219. Books in Brief. Foundations of Neural Networks, Fuzzy Systems, and ...
ieeexplore.ieee.org/ iel4/ 72/ 13541/ 00623228.pdf?arnumber=623228

MATLAB Central File Exchange - Neuro-Fuzzy and Soft Computing
An open exchange for the MATLAB and Simulink user community. Search:. MATLAB Central, File Exchange, MATLAB Newsgroup, Link Exchange, Blogs ...
www.mathworks.com/ matlabcentral/ fileexchange/ loadFile.do?objectType=file& objectId=2173

Slides for Fuzzy Sets, Ch. 2 of Neuro-Fuzzy and Soft Computing
Slides for Fuzzy Sets, Ch. 2 of Neuro-Fuzzy and Soft Computing. Auther: J.-S. Roger Jang. Modified by: Jason Hu. Neuro-Fuzzy and Soft Computing: Fuzzy Sets ...
210.60.57.71/ Courses/ Soft%20Computing/ ch02-Fuzzy%20Sets.ppt

Neuro-fuzzy and Soft Computing Systems
ENGG*4430. Neuro-fuzzy and Soft Computing Systems. Winter 2005. Instructor:. • Dr. Simon Yang Office: Room 2387; Phone: ext. 52437; Email: syang@uoguelph.ca ...
www.soe.uoguelph.ca/ course_outlines/ courseoutlinesw05/ ngg4430.pdf

Computational Intelligence
Computational Intelligence. Professor mk Habib. Department of Applied Statistics and Engineering, IT&E. Spring 2005. STAT 789: Advanced Topics in Statistics ...
mason.gmu.edu/ ~mhabib/ ch01note.ppt

Neuro-Fuzzy and Soft Computing: A Computational Approach to ...
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Modeling and control of non-linear systems using soft computing ...
Modeling and control of non-linear systems using soft computing techniques. Source, Applied Soft Computing archive Volume 7 , Issue 3 (June 2007) table of ...
portal.acm.org/ citation.cfm?id=1238441

First International ICSC Congress on Neuro Fuzzy Technologies
Tutorial. “Neuro-fuzzy Systems for Rule Extraction”. Claudio Moraga. Department of Computer Science. University of Dortmund. 44221 Dortmund, Germany ...
ls1-www.cs.uni-dortmund.de/ Lehre/ TIS_WS01_02/ nf-abstract.doc

Applied Soft Computing : Modeling and control of non-linear ...
Quick Search, Title, abstract, keywords, Author, eg js smith. Search tips (Opens new window), Journal/book title, Volume, Issue, Page, Clear all fields ...
linkinghub.elsevier.com/ retrieve/ pii/ S1568494606000238

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