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Janczak

Identification of Nonlinear Systems Using Neural Networks and Polynomial Models

A Block-Oriented Approach

Medium: Buch
ISBN: 978-3-540-23185-1
Verlag: Springer Berlin Heidelberg
Erscheinungstermin: 18.11.2004
Lieferfrist: bis zu 10 Tage

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.


Produkteigenschaften


  • Artikelnummer: 9783540231851
  • Medium: Buch
  • ISBN: 978-3-540-23185-1
  • Verlag: Springer Berlin Heidelberg
  • Erscheinungstermin: 18.11.2004
  • Sprache(n): Englisch
  • Auflage: 2005
  • Serie: Lecture Notes in Control and Information Sciences
  • Produktform: Kartoniert
  • Gewicht: 341 g
  • Seiten: 199
  • Format (B x H x T): 155 x 235 x 13 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

Introduction.- Neural network Wiener models.- Neural network Hammerstein models.- Polynomial Wiener models.- Polynomial Hammerstein models.- Applications.