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Block Oriented Identification Nonlinear Systems by Azhar Ali (6 results)
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Block-Oriented Identification of Nonlinear Systems | Neural Network approach towards Identification of Hammerstein and Wiener Models
Language: English
Published by LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838335570 ISBN 13: 9783838335575
Taschenbuch. Condition: 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.
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Block-Oriented Identification of Nonlinear Systems: Neural Network approach towards Identification of Hammerstein and Wiener Models
Language: English
Published by LAP Lambert Academic Publishing, 2010
ISBN 10: 3838335570 ISBN 13: 9783838335575
Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Block-Oriented Identification of Nonlinear Systems
Language: English
Published by LAP LAMBERT Academic Publishing Dez 2009, 2009
ISBN 10: 3838335570 ISBN 13: 9783838335575
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Block-Oriented Identification of Nonlinear Systems
Language: English
Published by LAP Lambert Academic Publishing, 2009
ISBN 10: 3838335570 ISBN 13: 9783838335575
Condition: 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.
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Block-Oriented Identification of Nonlinear Systems
Language: English
Published by LAP LAMBERT Academic Publishing Dez 2009, 2009
ISBN 10: 3838335570 ISBN 13: 9783838335575
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Block-Oriented Identification of Nonlinear Systems : Neural Network approach towards Identification of Hammerstein and Wiener Models
Language: English
Published by LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838335570 ISBN 13: 9783838335575
Taschenbuch. Condition: 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.
