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Description du livre Etat : New. N° de réf. du vendeur 757539-n
Description du livre Hardcover. Etat : new. N° de réf. du vendeur 9780792381952
Description du livre Etat : New. N° de réf. du vendeur ABLIING23Feb2416190185097
Description du livre Etat : New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. N° de réf. du vendeur ria9780792381952_lsuk
Description du livre Etat : New. N° de réf. du vendeur 757539-n
Description du livre Gebunden. Etat : 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 . N° de réf. du vendeur 5970746
Description du livre Etat : New. pp. 280. N° de réf. du vendeur 262568571
Description du livre Buch. Etat : 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. N° de réf. du vendeur 9780792381952
Description du livre Etat : New. pp. 280 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam. N° de réf. du vendeur 5279396
Description du livre Buch. Etat : 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. N° de réf. du vendeur 9780792381952