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Nonlinear Modeling: Advanced Black-Box Techniques - Hardcover

 
9780792381952: Nonlinear Modeling: Advanced Black-Box Techniques

Synopsis

Nonlinear Modeling: Advanced Black-Box Techniques discusses methods on

  • Neural nets and related model structures for nonlinear system identification;
  • Enhanced multi-stream Kalman filter training for recurrent networks;
  • The support vector method of function estimation;
  • Parametric density estimation for the classification of acoustic feature vectors in speech recognition;
  • Wavelet-based modeling of nonlinear systems;
  • Nonlinear identification based on fuzzy models;
  • Statistical learning in control and matrix theory;
  • Nonlinear time-series analysis.

It also contains the results of the K.U. Leuven time series prediction competition, held within the framework of an international workshop at the K.U. Leuven, Belgium in July 1998.

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Suykens, Johan A.K., Vandewalle, Joos P.L., editors
Published by Kluwer, 1998
ISBN 10: 0792381955 ISBN 13: 9780792381952
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Condition: Fine. 273 pp., hardcover, previous owner's name to the front free endpaper, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Photos available upon request. Seller Inventory # ZB1327697

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Suykens, Johan A. K.|Vandewalle, Joos P.L.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nonlinear Modeling: Advanced Black-Box Techniques discusses methods on Neural nets and related model structures for nonlinear system identification Enhanced multi-stream Kalman filter training for recurrent networks . Seller Inventory # 5970746

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ISBN 10: 0792381955 ISBN 13: 9780792381952
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Nonlinear Modeling: Advanced Black-Box Techniques discusses methods on Neural nets and related model structures for nonlinear system identification; Enhanced multi-stream Kalman filter training for recurrent networks; The support vector method of function estimation; Parametric density estimation for the classification of acoustic feature vectors in speech recognition; Wavelet-based modeling of nonlinear systems; Nonlinear identification based on fuzzy models; Statistical learning in control and matrix theory; Nonlinear time-series analysis. It also contains the results of the K.U. Leuven time series prediction competition, held within the framework of an international workshop at the K.U. Leuven, Belgium in July 1998. Seller Inventory # 9780792381952

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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Nonlinear Modeling: Advanced Black-Box Techniques discusses methods on Neural nets and related model structures for nonlinear system identification;Enhanced multi-stream Kalman filter training for recurrent networks;The support vector method of function estimation;Parametric density estimation for the classification of acoustic feature vectors in speech recognition;Wavelet-based modeling of nonlinear systems;Nonlinear identification based on fuzzy models;Statistical learning in control and matrix theory;Nonlinear time-series analysis.It also contains the results of the K.U. Leuven time series prediction competition, held within the framework of an international workshop at the K.U. Leuven, Belgium in July 1998.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 280 pp. Englisch. Seller Inventory # 9780792381952

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