Identification of Nonlinear Systems Using Neural Networks and Polynomial Models: A Block-Oriented Approach: 310 - Brossura
Sinossi
This monograph systematically presents the existing identification methods of nonlinear systems using the block-oriented approach It surveys various known approaches to the identification of Wiener and Hammerstein systems which are applicable to both neural network and polynomial models. The book gives a comparative study of their gradient approximation accuracy, computational complexity, and convergence rates and furthermore presents some new and original methods concerning the model parameter adjusting with gradient-based techniques. "Identification of Nonlinear Systems Using Neural Networks and Polynomal Models" is useful for researchers, engineers and graduate students in nonlinear systems and neural network theory.
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Contenuti
Introduction.- Neural network Wiener models.- Neural network Hammerstein models.- Polynomial Wiener models.- Polynomial Hammerstein models.- Applications.
Product Description
Book by Janczak Andrzej
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Identification Of Nonlinear Systems Using Neural Networks And Polynomial Models : A Block-Oriented Approach
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Identification of Nonlinear Systems Using Neural Networks and Polynomial Models: A Block-Oriented Approach (Lecture Notes in Control and Information Sciences, 310)
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Identification of Nonlinear Systems Using Neural Networks and Polynomial Models: A Block-Oriented Approach (Lecture Notes in Control and Information Sciences, 310)
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Identification of Nonlinear Systems Using Neural Networks and Polynomial Models
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Springer Berlin Heidelberg Nov 2004, 2004
ISBN 10: 3540231854
ISBN 13: 9783540231851
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This monograph systematically presents the existing identification methods of nonlinear systems using the block-oriented approach It surveys various known approaches to the identification of Wiener and Hammerstein systems which are applicable to both neural network and polynomial models. The book gives a comparative study of their gradient approximation accuracy, computational complexity, and convergence rates and furthermore presents some new and original methods concerning the model parameter adjusting with gradient-based techniques. 'Identification of Nonlinear Systems Using Neural Networks and Polynomal Models' is useful for researchers, engineers and graduate students in nonlinear systems and neural network theory. 220 pp. Englisch. Codice articolo 9783540231851
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Identification Of Nonlinear Systems Using Neural Networks And Polynomial Models : A Block-Oriented Approach
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Identification of Nonlinear Systems Using Neural Networks and Polynomial Models
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book on neural network and polynomial approach to identification of Wiener and Hammerstein systems.This monograph systematically presents the existing identification methods of nonlinear systems using the block-oriented approach It surve. Codice articolo 4885819
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Identification of Nonlinear Systems Using Neural Networks and Polynomial Models
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Springer Vieweg, Springer Nov 2004, 2004
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ISBN 13: 9783540231851
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This monograph systematically presents the existing identification methods of nonlinear systems using the block-oriented approach It surveys various known approaches to the identification of Wiener and Hammerstein systems which are applicable to both neural network and polynomial models. The book gives a comparative study of their gradient approximation accuracy, computational complexity, and convergence rates and furthermore presents some new and original methods concerning the model parameter adjusting with gradient-based techniques. 'Identification of Nonlinear Systems Using Neural Networks and Polynomal Models' is useful for researchers, engineers and graduate students in nonlinear systems and neural network theory.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 220 pp. Englisch. Codice articolo 9783540231851
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Identification of Nonlinear Systems Using Neural Networks and Polynomial Models : A Block-Oriented Approach
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Springer Vieweg, Springer, 2004
ISBN 10: 3540231854
ISBN 13: 9783540231851
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This monograph systematically presents the existing identification methods of nonlinear systems using the block-oriented approach It surveys various known approaches to the identification of Wiener and Hammerstein systems which are applicable to both neural network and polynomial models. The book gives a comparative study of their gradient approximation accuracy, computational complexity, and convergence rates and furthermore presents some new and original methods concerning the model parameter adjusting with gradient-based techniques. 'Identification of Nonlinear Systems Using Neural Networks and Polynomal Models' is useful for researchers, engineers and graduate students in nonlinear systems and neural network theory. Codice articolo 9783540231851
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