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2013, ISBN: 9783790817942
A Tool for Design of Flexible Adaptive Systems, eBooks, eBook Download (PDF), The idea about this book has evolved during the process of its preparation as some of the results have been a… More...
ISBN: 9783790817942
The idea about this book has evolved during the process of its preparation as some of the results have been achieved in parallel with its writing. One reason for this is that in this area… More...
ISBN: 9783790817942
The idea about this book has evolved during the process of its preparation as some of the results have been achieved in parallel with its writing. One reason for this is that in this area… More...
ISBN: 9783790817942
Evolving Rule-Based Models ab 117.49 € als pdf eBook: A Tool for Design of Flexible Adaptive Systems. Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Technik, Medien > Bücher, Evolving Ru… More...
ISBN: 9783790817942
Evolving Rule-Based Models - A Tool for Design of Flexible Adaptive Systems: ab 117.49 € Medien > Bücher > E-books
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Details of the book - Evolving Rule-Based Models
EAN (ISBN-13): 9783790817942
Publishing year: 2013
Publisher: Physica-Verlag HD
Book in our database since 2017-05-08T05:59:38+01:00 (London)
Detail page last modified on 2024-02-24T04:16:40+00:00 (London)
ISBN/EAN: 9783790817942
ISBN - alternate spelling:
978-3-7908-1794-2
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Book author: angelov, bailey robert
Book title: rule, flexible design
Information from Publisher
Author: Plamen P. Angelov
Title: Studies in Fuzziness and Soft Computing; Evolving Rule-Based Models - A Tool for Design of Flexible Adaptive Systems
Publisher: Physica; Physica
214 Pages
Publishing year: 2013-03-20
Heidelberg; DE
Language: English
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
XIII, 214 p.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Grundlagen; Mathematik: Logik; Verstehen; algorithms; complex system; complex systems; decision support system; fuzzy; genetic algorithms; model; modeling; system; complexity; C; Mathematical Logic and Foundations; Systems Theory, Control; Artificial Intelligence; Applied Dynamical Systems; Engineering; Mathematische Grundlagen; Kybernetik und Systemtheorie; Künstliche Intelligenz; Mathematik für Ingenieure; BB
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.First approach to on-line generation and adaptation of rule-based models Illustration with real engineering examples Includes supplementary material: sn.pub/extras
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