Identification of Nonlinear Systems Using Neural Networks and Polynomial Models: A Block-Oriented Approach (Lecture Notes in Control and Information Sciences, 310, Band 310) - Softcover

Identification of Nonlinear Systems Using Neural Networks and Polynomial Models : A Block-Oriented Approach

Taschenbuch. Zustand: 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. Artikel-Nr. 9783540231851

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