Evolving Fuzzy Models : Incremental Learning, Interpretability and Stability Issues, Applications

Language: English

Published by VDM Verlag Dr. Müller E.K., 2008

383648465X / 9783836484657

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Nowadays data-driven models become more and more an essential part in industrial systems for application tasks such as system identification and analysis, prediction, control or fault detection. Data driven models are mathematical models which are completely identified from data, which can be available in form of offline data sets, most commonly stored in data matrices, or in form of online measurements. Data-driven models possess the nice property that they can be built up generically in the sense that no underlying physical, chemical etc. laws about the system variables have to be known. Whenever measurements are recorded online with a certain frequency, usually the models should be kept up-to-date, especially when new system states occur during online production processes. This requires an adaptation of model parameters and an evolution of model structures with incremental learning steps, as a complete rebuilding from time to time with all recorded measurements would not terminate in real-time. The book addresses the on-line evolution of fuzzy models and underlines its necessity by concrete application examples from on-line quality control systems.

Seller Inventory # 9783836484657

Title
Evolving Fuzzy Models : Incremental Learning, Interpretability and Stability Issues, Applications
Author
Edwin Lughofer
Publisher
VDM Verlag Dr. Müller E.K.
Publication year
2008
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
383648465X
ISBN 13
9783836484657
Item weight
250 grams
Dimensions
220x150x10 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item30 to 40 business days7 to 14 business days
First itemUS$ 70.22US$ 81.68
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