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Identification of Nonlinear Systems Using Neural Networks and Polynomial Models

Identification of Nonlinear Systems Using Neural Networks and Polynomial Models

Andrzej Janczak

143,04 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2004
Materia
Ciencias de la computación
ISBN:
9783540231851
143,04 €
IVA incluido
Disponible

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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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