Utilisation des réseaux de neurones temporels pour le pronostic et la surveillance dynamique : Etude comparative de trois réseaux de neurones récurrents
- Other title
- Time neural network use for the dynamic monitoring and prognosis: comparative study of three recurrent neural networks (en)
- Author
- PALLUAT, Nicolas1 ; RACOCEANU, Daniel1 ; ZERHOUNI, Noureddine1
[1] Laboratoire d'Automatique de Besançon, LAB - UMR CNRS 6596 24 rue Alain Savary, 25000 Besançon, France - Source
Revue d'intelligence artificielle. 2005, Vol 19, Num 6, pp 913-950, 38 p ; ref : 1 p.1/4
- ISSN
- 0992-499X
- Scientific domain
- Computer science
- Publisher
- Lavoisier, Paris
- Publication country
- France
- Document type
- Article
- Language
- French
- Author keyword
- DGNN R2BF RRBF dynamic monitoring learning prognosis recurrent neural network temporal neural network
- Keyword (fr)
- Calcul réparti Monitorage Pronostic Réseau neuronal récurrent Réseau neuronal Surveillance Temps traitement
- Keyword (en)
- Distributed computing Monitoring Prognosis Recurrent neural nets Neural network Surveillance Processing time
- Keyword (es)
- Cálculo repartido Monitoreo Pronóstico Red neuronal Vigilancia Tiempo proceso
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 17306313
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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DOI
10.3166/ria.19.913-950 
https://dx.doi.org/10.3166/ria.19.913-950
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