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

Author: Marian B Gorzałczany
Publisher: Heidelberg ; New York : Physica-Verlag, ©2002.
Series: Studies in fuzziness and soft computing, v. 86.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:

In general, problem knowledge for solving a given problem can consist of an explicit knowledge (e.g., heuristic rules provided by a domain an implicit, hidden knowledge "buried" in past-experience  Read more...

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Marian B Gorzałczany
ISBN: 3790814393 9783790814392
OCLC Number: 48919671
Description: x, 364 pages : illustrations ; 25 cm.
Contents: 1. Introduction --
2. Elements of the theory of fuzzy sets --
3. Essentials of artificial neural networks --
4. Brief introduction to genetic algorithms --
5. Main directions of combining artificial neural networks, fuzzy sets and evolutionary computations in designing computational intelligence systems --
6. Neuro-fuzzy( -genetic) system for synthesizing rule-based knowledge from data --
7. Rule-based neuro-fuzzy modelling of dynamic systems and designing of controllers --
8. Neuro-fuzzy( -genetic) rule-based classifier designed from data for intelligent decision support --
9. Fuzzy neural network for system modelling and control --
10. Fuzzy neural classifier.
Series Title: Studies in fuzziness and soft computing, v. 86.
Responsibility: Marian B. Gorzałczany.
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