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Convergence analysis of a discrete-time recurrent neural network to perform quadratic real optimization with bound constraints

Author
PEREZ-ILZARBE, M. J1
[1] Departamento de Automática y Computación, Universidad Pública de Navarra, Campus de Arrosadía s/n, Pamplona, 31006 Navarra, Spain
Source

IEEE transactions on neural networks. 1998, Vol 9, Num 6, pp 1344-1351 ; ref : 22 ref

CODEN
ITNNEP
ISSN
1045-9227
Scientific domain
Electronics; Computer science; Psychology, psychopathology, psychiatry
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Keyword (fr)
Convergence Etude théorique Méthode gradient Méthode numérique Récidivant Réseau neuronal Système quadratique Temps discret
Keyword (en)
Convergence Theoretical study Gradient method Numerical method Recurrent Neural network Quadratic system Discrete time
Keyword (es)
Convergencia Estudio teórico Método gradiente Método numérico Recidivante Red neuronal Sistema cuadrático Tiempo discreto
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D03 Electronics / 001D03G Electric, optical and optoelectronic circuits / 001D03G01 Theoretical study. Circuits analysis and design

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D03 Electronics / 001D03G Electric, optical and optoelectronic circuits / 001D03G03 Neural networks

Discipline
Computer science : theoretical automation and systems Electronics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
1583778

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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