
Fuzzy Learning and Applications
Marco Russo(Author)
CRC Press
1st Edition
Will be published approx. on 13. December 2000
Book
Hardback
404 pages
978-0-8493-2269-3 (ISBN)
Description
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.
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.
Reviews / Votes
"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
More details
Series
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Illustrations
1 s/w Photographie bzw. Rasterbild, 44 s/w Tabellen
44 Tables, black and white; 1 Halftones, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Weight
690 gr
ISBN-13
978-0-8493-2269-3 (9780849322693)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Marco Russo
Fuzzy Learning and Applications
E-Book
04/2024
1st Edition
CRC Press
€109.99
Available for download

Marco Russo
Fuzzy Learning and Applications
E-Book
04/2024
1st Edition
CRC Press
€109.99
Available for download
Person
Russo, Marco; Jain, Lakhmi C.
Content
Evolutionary Fuzzy Learning, M. Russo
A Stored-Programmable Mixed-Signal Fuzzy Controller Chip with Supervised Learning Capabilities, F. Vidal-Verdu, R. Navas, M. Delgado-Restituto, and A. Rodriguez-Vazquez
Fuzzy Modeling in a Multi-Agent Framework for Learning in Autonomous Systems, Juan A. Botia, Humberto Martinez Barbera, and Antonio F. Gomez Skarmeta
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
A Stored-Programmable Mixed-Signal Fuzzy Controller Chip with Supervised Learning Capabilities, F. Vidal-Verdu, R. Navas, M. Delgado-Restituto, and A. Rodriguez-Vazquez
Fuzzy Modeling in a Multi-Agent Framework for Learning in Autonomous Systems, Juan A. Botia, Humberto Martinez Barbera, and Antonio F. Gomez Skarmeta
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