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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Dr. Saad Azhar received his BS from NED University in 1999. He joined KFUPM in 2000 and completed his MS in 2001 and PhD in EE in 2007. He is an Associate Professor at Iqra University Karachi. His areas of interest are Adaptive and Intelligent Nonlinear Control, He is the editor of Asian Journal of Engineering Sciences & Technology.
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783838335575
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783838335575
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 101312714
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