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Book Description Condition: New. Seller Inventory # 757539-n
Book Description Hardcover. Condition: new. Seller Inventory # 9780792381952
Book Description Condition: New. Seller Inventory # ABLIING23Feb2416190185097
Book Description Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Seller Inventory # ria9780792381952_lsuk
Book Description Condition: New. Seller Inventory # 757539-n
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
Book Description Condition: New. pp. 280. Seller Inventory # 262568571
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
Book Description Condition: New. pp. 280 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam. Seller Inventory # 5279396
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