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Evolving Fuzzy Models Incremental by Lughofer Edwin (6 results)
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Evolving Fuzzy Models: Incremental Learning,.
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 383648465X ISBN 13: 9783836484657
Condition: New.
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Evolving Fuzzy Models | Incremental Learning, Interpretability and Stability Issues, Applications
Language: English
Published by VDM Verlag Dr. Müller e.K., 2013
ISBN 10: 383648465X ISBN 13: 9783836484657
Taschenbuch. Condition: Neu. Evolving Fuzzy Models | Incremental Learning, Interpretability and Stability Issues, Applications | Edwin Lughofer | Taschenbuch | 156 S. | Englisch | 2013 | VDM Verlag Dr. Müller e.K. | EAN 9783836484657 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Evolving Fuzzy Models: Incremental Learning, Interpretability And Stability Issues, Applications
Language: English
Published by Vdm Verlag Dr. Müller, 2008
ISBN 10: 383648465X ISBN 13: 9783836484657
US$ 138.88
US$ 13.48 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Brand New. 156 pages. 8.66x5.91x0.36 inches. In Stock.
-
Evolving Fuzzy Models: Incremental Learning,.
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 383648465X ISBN 13: 9783836484657
US$ 102.80
US$ 8.76 shipping
Ships from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New. Print on Demand.
-
Evolving Fuzzy Models: Incremental Learning,.
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 383648465X ISBN 13: 9783836484657
Condition: New. PRINT ON DEMAND.
-
Evolving Fuzzy Models : Incremental Learning, Interpretability and Stability Issues, Applications
Language: English
Published by VDM Verlag Dr. Müller E.K., 2008
ISBN 10: 383648465X ISBN 13: 9783836484657
Taschenbuch. Condition: Neu. 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.
