Flexible Neuro-Fuzzy Systems: Structures, Learning and Performance Evaluation (2004) (The Springer International Series in Engineering and Computer Science #771)

By: Leszek Rutkowski

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Synopsis: Flexible Neuro-Fuzzy Systems is the first professional literature about the new class of powerful, flexible fuzzy systems. The author incorporates various flexibility parameters to the construction of neuro-fuzzy systems. This approach dramatically improves their performance, allowing the systems to perfectly represent the pattern encoded in data. Flexible Neuro-Fuzzy Systems is the only book that proposes a flexible approach to fuzzy modeling and fills the gap in existing literature. This book introduces new fuzzy systems which outperform previous approaches to system modeling and classification, and has the following features: -Provides a framework for unification, construction and development of neuro-fuzzy systems; -Presents complete algorithms in a systematic and structured fashion, facilitating understanding and implementation, -Covers not only advanced topics but also fundamentals of fuzzy sets, -Includes problems and exercises following each chapter, -Illustrates the results on a wide variety of simulations, -Provides tools for possible applications in business and economics, medicine and bioengineering, automatic control, robotics and civil engineering.

Book Quality:: Publisher Quality
ISBN-13:: 9781402080432
Related ISBNs:: 9781402080425
Publisher:: Springer US
Date of Addition:: 12/17/20
Copyrighted By:: N/A
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Computers and Internet, Mathematics and Statistics, Philosophy
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.