Items related to 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.
"synopsis" may belong to another edition of this title.
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Nonlinear Modeling : Advanced Black-Box Techniques
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Nonlinear Modeling
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Condition: New. 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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Buch. Condition: Neu. Nonlinear Modeling | Advanced Black-Box Techniques | Johan A. K. Suykens (u. a.) | Buch | xvii | Englisch | 1998 | Springer | EAN 9780792381952 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 102549274
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Nonlinear Modeling : Advanced Black-Box Techniques
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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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Nonlinear Modeling
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Springer US, Springer New York Jun 1998, 1998
ISBN 10: 0792381955
ISBN 13: 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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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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Nonlinear Modeling
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