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Nonlinear Modeling: Advanced Black-Box Techniques discusses methods on
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.
- 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.
"synopsis" may belong to another edition of this title.
- PublisherSpringer
- Publication date1998
- ISBN 10 0792381955
- ISBN 13 9780792381952
- BindingHardcover
- Number of pages273
- EditorSuykens Johan A.K., Vandewalle Joos P.L.
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Nonlinear Modeling : Advanced Black-Box Techniques
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Book Description 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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Nonlinear Modeling : Advanced Black-Box Techniques
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Book Description 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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Nonlinear Modeling
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Book Description Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 280 pp. Englisch. Seller Inventory # 9780792381952
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