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cover Evolving Rule-Based Models ...
Evolving Rule-Based Models [A Tool for Design of Flexible Adaptive Systems
Physica-Verlag HD 2002

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

Logic, Symbolic and mathematical Systems theory Artificial intelligence Engineering Mathematical Logic and Foundations Systems Theory, Control Artificial Intelligence Complexity

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Título:
Evolving Rule-Based Models [ Recurso electrónico] : A Tool for Design of Flexible Adaptive Systems / by Plamen P. Angelov
Edición:
1st ed. 2002
Editorial:
Heidelberg : Physica-Verlag HD : Imprint: Physica, 2002
Descripción física:
XIII, 214 p
Mención de serie:
Studies in fuzziness and soft computing ; 92
Studies in Fuzziness and Soft Computing ; 92
Nota general:
Índice
Bibliografía:
Bibliogr.: p. 199-208
ISBN:
9783790817942
9783790825060
9783790814576
9783662003251
Materia:

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