Fuzzy Modelling: Paradigms and Practice provides an up-to-date and
authoritative compendium of fuzzy models, identification algorithms
and applications. Chapters in this book have been written by the
leading scholars and researchers in their respective subject areas.
Several of these chapters include both theoretical material and
applications. The editor of this volume has organized and edited
the chapters into a coherent and uniform framework. The objective
of this book is to provide researchers and practitioners involved
in the development of models for complex systems with an
understanding of fuzzy modelling, and an appreciation of what makes
these models unique. The chapters are organized into three major
parts covering relational models, fuzzy neural networks and
rule-based models. The material on relational models includes
theory along with a large number of implemented case studies,
including some on speech recognition, prediction, and ecological
systems. The part on fuzzy neural networks covers some
fundamentals, such as neurocomputing, fuzzy neurocomputing, etc.,
identifies the nature of the relationship that exists between fuzzy
systems and neural networks, and includes extensive coverage of
their architectures. The last part addresses the main design
principles governing the development of rule-based models. Fuzzy
Modelling: Paradigms and Practice provides a wealth of specific
fuzzy modelling paradigms, algorithms and tools used in systems
modelling. Also included is a panoply of case studies from various
computer, engineering and science disciplines. This should be a
primary reference work for researchers and practitioners developing
models of complex systems.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!