Flexible Neuro-Fuzzy Systems: Structures, Learning and Performance Evaluation: 771 (The Springer International Series in Engineering and Computer Science, 771) - Image 1

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

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

AI & Machine Learning

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Description

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.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 1402080425
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 19 May 2004
Listed Since: 09 December 2006

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

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