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Analysis and modification of Volterra/Wiener neural networks for the adaptive identification of non-linear hysteretic dynamic systems

Author
PEI, J.-S1 ; SMYTH, A. W2 ; KOSMATOPOULOS, E. B3
[1] School of Civil Engineering & Environmental Science, University of Oklahoma, Norman, OK 73019-1024, United States
[2] School of Engineering & Applied Science, Columbia University, New York, NY 10027-6699, United States
[3] Department of Production Engineering & Management, Technical University of Crete, Chania, 73100, Greece
Source

Journal of sound and vibration. 2004, Vol 275, Num 3-5, pp 693-718, 26 p ; ref : 18 ref

CODEN
JSVIAG
ISSN
0022-460X
Scientific domain
Civil engineering; Mechanical engineering; Mechanics acoustics
Publisher
Elsevier, London
Publication country
United Kingdom
Document type
Article
Language
English
Keyword (fr)
Accélération Effet non linéaire Equation Volterra Hystérésis mécanique Modélisation Méthode adaptative Poids Réseau neuronal Vitesse variable 4640
Keyword (en)
Acceleration Non linear effect Volterra equation Mechanical hysteresis Modeling Adaptive method Weight Neural network Varying speed
Keyword (es)
Aceleración Efecto no lineal Ecuación Volterra Histéresis mecánica Modelización Método adaptativo Peso Red neuronal Velocidad variable
Classification
Pascal
001 Exact sciences and technology / 001B Physics / 001B40 Fundamental areas of phenomenology (including applications) / 001B40F Solid mechanics / 001B40F30 Structural and continuum mechanics / 001B40F30M Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...)

Discipline
Physics : solid mechanics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
15923270

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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