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E-raamat: Fuzzy Learning and Applications

(University of South Australia, Adelaide), (University of Messina, Messina, Italy)
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With low computational complexity and relatively short development time, Fuzzy Logic is an indispensable tool for engineering applications. The field is growing at an unprecedented rate, and there is a need for a book that describes essential tools, applications, examples, and perspectives in the field of fuzzy learning. The editors of Fuzzy Learning and Applications fill this need, providing an essential book for researchers, scientists, and engineers alike.

Organized into four parts, this book starts with the simplest learning method and gradually arrives at the most complex. First, it summarizes all the symbols and formulae used in the succeeding chapters and presents a historical overview of fuzzy learning. Next, it deals with current techniques, ranging from deterministic to hybrid methods. It then illustrates the enormous number of possibilities offered by fuzzy learning. Finally, it covers hardware dedicated to fuzzy learning, from digital to analog designs and implementations. With Fuzzy Learning and Applications, readers will discover the enormous possibilities fuzzy learning offers.

Arvustused

"This book would be an excellent resource for graduate students and advanced researchers in two ways: it would enable them to learn about some of the advanced research and applications being carried out, and would provide them with a variety of ideas for further research and applications." -R. Bharath, CHOICE, September 2001

Evolutionary Fuzzy Learning 1(50) M. Russo A Stored-Programmable Mixed-Signal Fuzzy Controller Chip with Supervised Learning Capabilities 51(42) F. Vidal-Verdu R. Navas M. Delgado-Restituto A. Rodriguez-Vazquez Fuzzy Modeling in a Multi-Agent Framework for Learning in Autonomous Systems 93(54) J.A. Botia H. M. Barbera A.F. Gomez Skarmeta Learning Techniques for Supervised Fuzzy Classifiers 147(24) F. Masulli A. Sperduti Multistage Fuzzy Control 171(34) Z.M. Yeh H.P. Chen Learning Fuzzy Systems 205(18) A. Lotfi An Application of Fuzzy Modeling to Analysis of Rowing Boat Speed 223(18) K. Tachibana T. Furuhashi M. Shimoda Y. Kawakami T. Fukunaga A Novel Fuzzy Approach to Hopfield Coefficients Determination 241(38) S. Cavalieri M. Russo Fuzzy control of a CD player focusing system 279(26) L. Fortuna G. Muscato R. Caponetto M.G. Xibilia A Neuro-Fuzzy Scheduler for a Multimedia Web Server 305(54) Z. Ali A. Ghafoor C.S.G. Lee A Neuro-Fuzzy System Based on Logical Interpretation of If-Then Rules 359 J. Leski N. Henzel
Russo, Marco; Jain, Lakhmi C.