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A taxonomy for wavelet neural networks applied to nonlinear modelling

Author
RIBES-GOMEZ, Emilio1 ; MCLOONE, Sean2 ; IRWIN, George3
[1] Department of Electrical Engineering, Universitat de València, Doctor Moliner 50, 46100 Burjassot, Spain
[2] Department of Electronic Engineering, National University of Ireland, Maynooth, Co Kildare, Ireland
[3] School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Stranmillis Rd, Belfast BT9 4AH, Northern Ireland, United Kingdom
Source

International journal of systems science. 2008, Vol 39, Num 6, pp 607-627, 21 p ; ref : 3/4 p

CODEN
IJSYA9
ISSN
0020-7721
Scientific domain
Control theory, operational research
Publisher
Taylor & Francis, London
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Neural networks Nonlinear modelling Wavelets
Keyword (fr)
Classification Dimensionnalité Identification système Modèle non linéaire Modélisation Orthogonalité Réseau neuronal Systématique Transformation ondelette
Keyword (en)
Classification Dimensionality System identification Non linear model Modeling Orthogonality Neural network Taxonomy Wavelet transformation
Keyword (es)
Clasificación Dimensionalidad Identificación sistema Modelo no lineal Modelización Ortogonalidad Red neuronal Sistemática Transformación ondita
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02D Control theory. Systems / 001D02D05 Modelling and identification

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20300442

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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