Evolving Rule-Based Models
A Tool for Design of Flexible Adaptive Systems
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Word Count
53,250 words, Guess
Page Count
213 pages
Physical Format
Electronic resource
Identifiers
- Internet Archiveevolvingrulebase00ange
- ISBN-103790825069
- ISBN-103790817945
- ISBN-139783790825060
- ISBN-139783790817942
and 4 more
- OCLC Control Number851377708
- Better World Books9783790825060
- Better World Books9783790817942
- Open LibraryOL27037601M
Classifications
- DDC006.3
- LCCQ334-342
- LCCTJ210.2-211.495
and 1 more
- LCCQA1-939
Description
The objects of modelling and control change due to dynamical characteristics, fault development or simply ageing. There is a need to up-date models inheriting useful structure and parameter information. The book gives an original solution to this problem with a number of examples. It treats an original approach to on-line adaptation of rule-based models and systems described by such models. It combines the benefits of fuzzy rule-based models suitable for the description of highly complex systems with the original recursive, non iterative technique of model evolution without necessarily using genetic algorithms, thus avoiding computational burden making possible real-time industrial applications. Potential applications range from autonomous systems, on-line fault detection and diagnosis, performance analysis to evolving (self-learning) intelligent decision support systems.
Subjects
Series Statement
- Studies in Fuzziness and Soft Computing -- 92
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