Artificial neural networks for modelling and control of non-linear systems / Johan A.K. Suykens, Joos P.L. Vandewalle, Bart L.R. De Moor.
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)
| Item type | Current location | Home library | Shelving location | Call number | URL | Status | Notes | Date due | Barcode | Item holds |
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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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