Russo | Fuzzy Learning and Applications | Buch | 978-0-8493-2269-3 | sack.de

Buch, Englisch, 404 Seiten, Format (B × H): 163 mm x 241 mm, Gewicht: 694 g

Reihe: International Series on Computational Intelligence

Russo

Fuzzy Learning and Applications


1. Auflage 2000
ISBN: 978-0-8493-2269-3
Verlag: CRC Press

Buch, Englisch, 404 Seiten, Format (B × H): 163 mm x 241 mm, Gewicht: 694 g

Reihe: International Series on Computational Intelligence

ISBN: 978-0-8493-2269-3
Verlag: CRC Press


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.

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Autoren/Hrsg.


Weitere Infos & Material


Evolutionary Fuzzy Learning, M. Russo
A Stored-Programmable Mixed-Signal Fuzzy Controller Chip with Supervised Learning Capabilities, F. Vidal-Verdú, R. Navas, M. Delgado-Restituto, and A. Rodríguez-Vázquez
Fuzzy Modeling in a Multi-Agent Framework for Learning in Autonomous Systems, Juan A. Botía, Humberto Martínez Barberá, and Antonio F. Gómez Skármeta
Learning Techniques for Supervised Fuzzy Classifiers, F. Masulli and A. Sperduti
Multistage Fuzzy Control, Z.M. Yeh and H.P. Chen
Learning Fuzzy Systems, A. Lofti
Application of Fuzzy Modeling to Analysis of Rowing Boat Speed, K. Tachibana, T. Furuhashi, M. Shimoda, Y. Kawakami, and T. Fukunaga
A Novel Fuzzy Approach to Hopfield Coefficients Determination, S. Cavalieri and M. Russo
Fuzzy Control of a CD Player Focusing System, L. Fortuna, G. Muscato, R. Caponetto, and M.G. Xibilia
A Neuro-Fuzzy Scheduler for a Multi-Media Web Server, Z. Ali, A. Ghafoor, and C.S.G. Lee
A Neuro-Fuzzy System Based on Logical Interpretation of If-Then Rules, J. Leski and N. Henzel


Russo, Marco; Jain, Lakhmi C.



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