Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti
Preface. 1. Neural Nets and Related Model Structures for Nonlinear System Identification; J. Sjöberg, L.S.H. Ngia. 2. Enhanced Multi-Stream Kalman Filter Training for Recurrent Networks; L.A. Feldkamp, et al. 3. The Support Vector Method of Function Estimation; V. Vapnik. 4. Parametric Density Estimation for the Classification of Acoustic Feature Vectors in Speech Recognition; S. Basu, C.A. Micchelli. 5. Wavelet Based Modeling of Nonlinear Systems; Yi Yu, et al. 6. Nonlinear Identification Based on Fuzzy Models; V. Wertz, S. Yurkovich. 7. Statistical Learning in Control and Matrix Theory; M. Vidyasagar. 8. Nonlinear Time-Series Analysis; U. Parlitz. 9. The K.U. Leuven Time Series Prediction Competition; J.A.K. Suykens, J. Vandewalle. References. Index.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 280 | Sprache: Englisch | Produktart: Bücher | 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. Codice articolo 3028407/202
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Buch. Condizione: Neu. Nonlinear Modeling | Advanced Black-Box Techniques | Joos P. L. Vandewalle (u. a.) | Buch | xvii | Englisch | 1998 | Springer US | EAN 9780792381952 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 102549274
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Buch. Condizione: 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. Codice articolo 9780792381952
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Buch. Condizione: 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. Codice articolo 9780792381952
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Buch. Condizione: 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. Codice articolo 9780792381952
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