http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Computational Intelligence Systems and Applications
1 online resource (x, 364 pages 147 figs., 21 tables)
This book presents new concepts and implementations of Computational Intelligence (CI) systems (based on neuro-fuzzy and fuzzy neural synergisms) and a broad comparative analysis with the best-known existing neuro-fuzzy systems as well as with systems representing other knowledge-discovery techniques such as rough sets, decision trees, regression trees, probabilistic rule induction etc. This presentation is preceded by a discussion of the main directions of synthesizing fuzzy sets, artificial neural networks and genetic algorithms in the framework of designing CI systems. In order to keep the book self-contained, introductions to the basic concepts of fuzzy systems, artificial neural networks and genetic algorithms are given. This book is intended for researchers and practitioners in AI/CI fields and for students of computer science or neighbouring areas.
Introduction -- Elements of the theory of fuzzy sets -- Essentials of artificial neural networks -- Brief introduction to genetic algorithms -- Main directions of combining artificial neural networks, fuzzy sets and evolutionary computations in designing computational intelligence systems -- Neuro-fuzzy( -genetic) system for synthesizing rule-based knowledge from data -- Rule-based neuro-fuzzy modelling of dynamic systems and designing of controllers -- Neuro-fuzzy( -genetic) rule-based classifier designed from data for intelligent decision support -- Fuzzy neural network for system modelling and control -- Fuzzy neural classifier -- Appendices.
Includes bibliographical references (pages 337-357) and index.
Studies in fuzziness and soft computing ; 86