ENGLISH

Evolving Rule-Based Models: A Tool for Design of Flexible Adaptive Systems

By Dr. Plamen P. Angelov (auth.)

Book information

Publisher
Physica-Verlag Heidelberg
Year
2002
ISBN
978-3-7908-2506-0, 978-3-7908-1794-2
DOI
10.1007/978-3-7908-1794-2
Language
english
Format
PDF
Filesize
6 MB (5823741 bytes)
Series
Studies in Fuzziness and Soft Computing 92
Edition
1
Pages
214\212
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Artificial Intelligence (incl. Robotics);Complexit

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.

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