Identification of Nonlinear Systems Using Neural Networks and Polynomial Models: A Block-Oriented Approach (Lecture Notes in Control and Information Sciences, 310) - Softcover
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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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Identification of Nonlinear Systems Using Neural Networks and Polynomial Models
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Springer Berlin Heidelberg Nov 2004, 2004
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Taschenbuch. Condition: 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. Seller Inventory # 9783540231851
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Identification of Nonlinear Systems Using Neural Networks and Polynomial Models
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Condition: 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. Seller Inventory # 4885819
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Identification of Nonlinear Systems Using Neural Networks and Polynomial Models
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Taschenbuch. Condition: 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. Seller Inventory # 9783540231851
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