This book is intended to serve as a reference for advanced research in the area of nonlinear system identification specializing in electrical/mechanical/ chemical engineering. Hammerstein and Wiener models are two of the most widely used architectures for block-oriented nonlinear system identification. This book focuses on the identification of hammerstein and wiener models. The identification algorithms are developed based on radial basis functions neural networks. The alogrithms are supported by numerous simulations and convergence analysis.
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This book is intended to serve as a reference for advanced research in the area of nonlinear system identification specializing in electrical/mechanical/ chemical engineering. Hammerstein and Wiener models are two of the most widely used architectures for block-oriented nonlinear system identification. This book focuses on the identification of hammerstein and wiener models. The identification algorithms are developed based on radial basis functions neural networks. The alogrithms are supported by numerous simulations and convergence analysis.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is intended to serve as a reference for advanced research in the area of nonlinear system identification specializing in electrical/mechanical/ chemical engineering. Hammerstein and Wiener models are two of the most widely used architectures for block-oriented nonlinear system identification. This book focuses on the identification of hammerstein and wiener models. The identification algorithms are developed based on radial basis functions neural networks. The alogrithms are supported by numerous simulations and convergence analysis. 148 pp. Englisch. Nº de ref. del artículo: 9783838335575
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is intended to serve as a reference for advanced research in the area of nonlinear system identification specializing in electrical/mechanical/ chemical engineering. Hammerstein and Wiener models are two of the most widely used architectures for b. Nº de ref. del artículo: 5414122
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is intended to serve as a reference for advanced research in the area of nonlinear system identification specializing in electrical/mechanical/ chemical engineering. Hammerstein and Wiener models are two of the most widely used architectures for block-oriented nonlinear system identification. This book focuses on the identification of hammerstein and wiener models. The identification algorithms are developed based on radial basis functions neural networks. The alogrithms are supported by numerous simulations and convergence analysis. Nº de ref. del artículo: 9783838335575
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is intended to serve as a reference for advanced research in the area of nonlinear system identification specializing in electrical/mechanical/ chemical engineering. Hammerstein and Wiener models are two of the most widely used architectures for block-oriented nonlinear system identification. This book focuses on the identification of hammerstein and wiener models. The identification algorithms are developed based on radial basis functions neural networks. The alogrithms are supported by numerous simulations and convergence analysis.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch. Nº de ref. del artículo: 9783838335575
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Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Block-Oriented Identification of Nonlinear Systems | Neural Network approach towards Identification of Hammerstein and Wiener Models | Syed Saad Azhar Ali | Taschenbuch | 148 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838335575 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Nº de ref. del artículo: 101312714
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