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. Flexible Neuro-Fuzzy Systems is designed for
a professional audience composed of researchers and practitioners
in industry. This book is also suitable as a secondary text for
graduate-level students in computer science and engineering.
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