Item description for Identification of Nonlinear Systems Using Neural Networks and Polynomial Models: A Block-Oriented Approach (Lecture Notes in Control and Information Sciences) by A. Janczak...
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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Est. Packaging Dimensions: Length: 9.21" Width: 5.91" Height: 0.55" Weight: 0.62 lbs.
Release Date Dec 22, 2004
ISBN 3540231854 ISBN13 9783540231851
Availability 53 units. Availability accurate as of Jan 18, 2017 03:14.
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