Computational intelligence systems and applications : neuro-fuzzy and fuzzy neural synergisms /

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Bibliographic Details
Author / Creator:Gorzałczany, Marian B.
Imprint:Heidelberg ; New York : Physica-Verlag, c2002.
Description:x, 364 p. : 147 ill. ; 25 cm.
Language:English
Series:Studies in fuzziness and soft computing, 1434-9922 ; 86
Studies in fuzziness and soft computing ; v. 86.
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/4649880
Hidden Bibliographic Details
ISBN:3790814393 (hd.bd.)
Notes:Includes bibliographical references (p. [337]-357) and index.

MARC

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505 0 0 |g 1.  |t Introduction --  |g 2.  |t Elements of the theory of fuzzy sets --  |g 3.  |t Essentials of artificial neural networks --  |g 4.  |t Brief introduction to genetic algorithms --  |g 5.  |t Main directions of combining artificial neural networks, fuzzy sets and evolutionary computations in designing computational intelligence systems --  |g 6.  |t Neuro-fuzzy(-genetic) system for synthesizing rule-based knowledge from data --  |g 7.  |t Rule-based neuro-fuzzy modelling of dynamic systems and designing of controllers --  |g 8.  |t Neuro-fuzzy(-genetic) rule-based classifier designed from data for intelligent decision support --  |g 9.  |t Fuzzy neural network for system modelling and control --  |g 10.  |t Fuzzy neural classifier. 
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