A delay-partitioning projection approach to stability analysis of stochastic Markovian jump neural networks with randomly occurred nonlinearities
- Author
- JIANMIN DUAN2 ; MANFENG HU1 2 ; YONGQING YANG1 2 ; LIUXIAO GUO2
[1] Key Laboratory of Advanced Process Control for Light Industry (Jiangnan University), Ministry of Education, Wuxi 214122, China
[2] School of Science, Jiangnan University, Wuxi 214122, China - Source
Neurocomputing (Amsterdam). 2014, Vol 128, pp 459-465, 7 p ; ref : 41 ref
- ISSN
- 0925-2312
- Scientific domain
- Cognition; Computer science
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Delay-partitioning projection Mean square asymptotic stability Randomly occurred nonlinearities (RONs) Stochastic neural networks Time-varying delay
- Keyword (fr)
- Analyse statistique Débit information Fonction Lyapunov Inégalité matricielle linéaire Modèle à changement de régime Méthode Lyapunov Méthode partition Processus stochastique Retard Réseau neuronal Stabilité asymptotique Stabilité stochastique Système paramètre variable Temps retard
- Keyword (en)
- Statistical analysis Information rate Lyapunov function Linear matrix inequality regime switching model Lyapunov method Partition method Stochastic process Delay Neural network Asymptotic stability Stochastic stability Time varying system Delay time
- Keyword (es)
- Análisis estadístico Índice información Función Lyapunov Desigualdad matricial lineal Modelo de Cambios de Régimen Método Lyapunov Método partición Proceso estocástico Retraso Red neuronal Estabilidad asintótica Estabilidad estocástica Sistema parámetro variable Tiempo retardo
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28284283
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
10.1016/j.neucom.2013.08.019 
https://dx.doi.org/10.1016/j.neucom.2013.08.019
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