Artificial neural networks for modelling and control of non-linear systems / Johan A.K. Suykens, Joos P.L. Vandewalle, Bart L.R. De Moor.

By: Suykens, Johan A. KContributor(s): Moor, Bart L. R. de, 1960- | Vandewalle, J, 1948-Publisher: Boston : Kluwer Academic Publishers, c1996Description: xii, 235 p. : ill. ; 25 cmISBN: 0792396782 (hardbound : acid-free paper)Subject(s): Neural networks (Computer science) | Nonlinear systemsDDC classification: 003.75,SUY Online resources: Publisher description | Table of contents only
Contents:
Introduction.(Page-1) Artificial Neural Networks: Architectures and Learning Rules (Page-19). Nonlinear System Identification Using Neural Networks (Page-37). Neural Networks for Control (Page-83). NLq Theory (Page-117) General Conclusions and Future Work (Page-177) Generation of n-double scrolls (Page-181) Fokker-Planck Learning Machine for Global Optimization (Page-195) Proof of NLq Theorems (Page-207)
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Item type Current location Home library Shelving location Call number URL Status Notes Date due Barcode Item holds
Book Book Military College of Signals (MCS)
Military College of Signals (MCS)
General Stacks 003.75,SUY (Browse shelf) Link to resource Available Almirah No.1, Shelf No.3 MCS5606
Total holds: 0

Introduction.(Page-1) Artificial Neural Networks: Architectures and Learning Rules (Page-19). Nonlinear System Identification Using Neural Networks (Page-37). Neural Networks for Control (Page-83). NLq Theory (Page-117) General Conclusions and Future Work (Page-177) Generation of n-double scrolls (Page-181) Fokker-Planck Learning Machine for Global Optimization (Page-195) Proof of NLq Theorems (Page-207)

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