New delay-distribution-dependent stability analysis for discrete-time stochastic neural networks with randomly time-varying delays
- Author
- MENGZHUO LUO1 ; SHOUMING ZHONG1 2
[1] School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China
[2] Key Laboratory for Neuroinformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China - Issue title
- Advanced Theory and Methodology in Intelligent Computing: Selected papers from the Seventh International Conference on Intelligent Computing (ICIC 2011)
- Author (monograph)
- HUANG, De-Shuang (Editor)1 ; WANG, DeLiang2
[1] Machine Learning and Systems Biology Laboratory,Tongji University, 4800 Caoan Road, Shanghai 201804, China
[2] Department of Computer Science & Engineering, The Ohio State University, OH, United States - Source
Neurocomputing (Amsterdam). 2013, Vol 116, pp 30-37, 8 p ; ref : 21 ref
- ISSN
- 0925-2312
- Scientific domain
- Cognition; Computer science
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Delay-distribution-dependent stability Free-weighting matrix Linear matrix inequality (LMI) Neural networks Time-varying delay
- Keyword (fr)
- Analyse statistique Approche probabiliste Distribution temporelle Efficacité Fonction Lyapunov Inégalité matricielle linéaire Loi exponentielle Loi probabilité Modélisation Mouvement brownien Méthode matricielle Retard variable Réseau neuronal Stabilité exponentielle Stabilité stochastique Système paramètre variable Système à retard Temps discret
- Keyword (en)
- Statistical analysis Probabilistic approach Time distribution Efficiency Lyapunov function Linear matrix inequality Exponential distribution Probability distribution Modeling Brownian motion Matrix method Variable delay Neural network Exponential stability Stochastic stability Time varying system Delay system Discrete time
- Keyword (es)
- Análisis estadístico Enfoque probabilista Distribución temporal Eficacia Función Lyapunov Desigualdad matricial lineal Ley exponencial Ley probabilidad Modelización Movimiento browniano Método matriz Retardo variable Red neuronal Estabilidad exponencial Estabilidad estocástica Sistema parámetro variable Sistema con retardo 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 / 001D02 Computer science; control theory; systems / 001D02D Control theory. Systems / 001D02D06 Control system analysis
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 27492339
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
Access to the document
Install on your browser
DOI
10.1016/j.neucom.2011.11.035 
https://dx.doi.org/10.1016/j.neucom.2011.11.035
"O:13:\"PanistOpenUrl\":36:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000idc\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:28:\"10.1016\/j.neucom.2011.11.035\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:130:\"New delay-distribution-dependent stability analysis for discrete-time stochastic neural networks with randomly time-varying delays\";s:9:\"\u0000*\u0000jtitle\";s:26:\"Neurocomputing (Amsterdam)\";s:9:\"\u0000*\u0000stitle\";s:22:\"Neurocomputing (Amst.)\";s:7:\"\u0000*\u0000date\";s:4:\"2013\";s:9:\"\u0000*\u0000volume\";s:3:\"116\";s:8:\"\u0000*\u0000issue\";s:0:\"\";s:8:\"\u0000*\u0000spage\";s:2:\"30\";s:8:\"\u0000*\u0000epage\";s:2:\"37\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0925-2312\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:12:\"MENGZHUO LUO\";s:10:\"\u0000*\u0000aufirst\";s:0:\"\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:14:\"SHOUMING ZHONG\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:0:\"\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:152:\"Advanced Theory and Methodology in Intelligent Computing: Selected papers from the Seventh International Conference on Intelligent Computing (ICIC 2011)\";s:8:\"\u0000*\u0000title\";s:130:\"New delay-distribution-dependent stability analysis for discrete-time stochastic neural networks with randomly time-varying delays\";s:8:\"\u0000*\u0000place\";s:9:\"Amsterdam\";s:6:\"\u0000*\u0000pub\";s:8:\"Elsevier\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:1:\"8\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Panist access
"O:12:\"IstexOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:28:\"10.1016\/j.neucom.2011.11.035\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:130:\"New delay-distribution-dependent stability analysis for discrete-time stochastic neural networks with randomly time-varying delays\";s:9:\"\u0000*\u0000jtitle\";s:26:\"Neurocomputing (Amsterdam)\";s:9:\"\u0000*\u0000stitle\";s:22:\"Neurocomputing (Amst.)\";s:7:\"\u0000*\u0000date\";s:4:\"2013\";s:9:\"\u0000*\u0000volume\";s:3:\"116\";s:8:\"\u0000*\u0000issue\";s:0:\"\";s:8:\"\u0000*\u0000spage\";s:2:\"30\";s:8:\"\u0000*\u0000epage\";s:2:\"37\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0925-2312\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:12:\"MENGZHUO LUO\";s:10:\"\u0000*\u0000aufirst\";s:0:\"\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:14:\"SHOUMING ZHONG\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:0:\"\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:152:\"Advanced Theory and Methodology in Intelligent Computing: Selected papers from the Seventh International Conference on Intelligent Computing (ICIC 2011)\";s:8:\"\u0000*\u0000title\";s:130:\"New delay-distribution-dependent stability analysis for discrete-time stochastic neural networks with randomly time-varying delays\";s:8:\"\u0000*\u0000place\";s:9:\"Amsterdam\";s:6:\"\u0000*\u0000pub\";s:8:\"Elsevier\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:1:\"8\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Istex access
"O:16:\"UnpaywallOpenUrl\":35:{s:8:\"\u0000*\u0000email\";s:27:\"assistance-portail@inist.fr\";s:6:\"\u0000*\u0000fmt\";N;s:6:\"\u0000*\u0000doi\";s:28:\"10.1016\/j.neucom.2011.11.035\";s:6:\"\u0000*\u0000pii\";N;s:7:\"\u0000*\u0000pmid\";N;s:9:\"\u0000*\u0000atitle\";N;s:9:\"\u0000*\u0000jtitle\";N;s:9:\"\u0000*\u0000stitle\";N;s:7:\"\u0000*\u0000date\";N;s:9:\"\u0000*\u0000volume\";N;s:8:\"\u0000*\u0000issue\";N;s:8:\"\u0000*\u0000spage\";N;s:8:\"\u0000*\u0000epage\";N;s:8:\"\u0000*\u0000pages\";N;s:7:\"\u0000*\u0000issn\";N;s:8:\"\u0000*\u0000eissn\";N;s:9:\"\u0000*\u0000aulast\";N;s:10:\"\u0000*\u0000aufirst\";N;s:9:\"\u0000*\u0000auinit\";N;s:10:\"\u0000*\u0000auinitm\";N;s:5:\"\u0000*\u0000au\";N;s:9:\"\u0000*\u0000aucorp\";N;s:7:\"\u0000*\u0000isbn\";N;s:8:\"\u0000*\u0000coden\";N;s:8:\"\u0000*\u0000genre\";N;s:7:\"\u0000*\u0000part\";N;s:9:\"\u0000*\u0000btitle\";N;s:8:\"\u0000*\u0000title\";N;s:8:\"\u0000*\u0000place\";N;s:6:\"\u0000*\u0000pub\";N;s:10:\"\u0000*\u0000edition\";N;s:9:\"\u0000*\u0000tpages\";N;s:9:\"\u0000*\u0000series\";N;s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";N;}"
Unpaywall access
"O:16:\"EuropePMCOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:28:\"10.1016\/j.neucom.2011.11.035\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:130:\"New delay-distribution-dependent stability analysis for discrete-time stochastic neural networks with randomly time-varying delays\";s:9:\"\u0000*\u0000jtitle\";s:26:\"Neurocomputing (Amsterdam)\";s:9:\"\u0000*\u0000stitle\";s:22:\"Neurocomputing (Amst.)\";s:7:\"\u0000*\u0000date\";s:4:\"2013\";s:9:\"\u0000*\u0000volume\";s:3:\"116\";s:8:\"\u0000*\u0000issue\";s:0:\"\";s:8:\"\u0000*\u0000spage\";s:2:\"30\";s:8:\"\u0000*\u0000epage\";s:2:\"37\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0925-2312\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:12:\"MENGZHUO LUO\";s:10:\"\u0000*\u0000aufirst\";s:0:\"\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:14:\"SHOUMING ZHONG\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:0:\"\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:152:\"Advanced Theory and Methodology in Intelligent Computing: Selected papers from the Seventh International Conference on Intelligent Computing (ICIC 2011)\";s:8:\"\u0000*\u0000title\";s:130:\"New delay-distribution-dependent stability analysis for discrete-time stochastic neural networks with randomly time-varying delays\";s:8:\"\u0000*\u0000place\";s:9:\"Amsterdam\";s:6:\"\u0000*\u0000pub\";s:8:\"Elsevier\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:1:\"8\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Europe PubMed Central access
"O:11:\"BaseOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:28:\"10.1016\/j.neucom.2011.11.035\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:130:\"New delay-distribution-dependent stability analysis for discrete-time stochastic neural networks with randomly time-varying delays\";s:9:\"\u0000*\u0000jtitle\";s:26:\"Neurocomputing (Amsterdam)\";s:9:\"\u0000*\u0000stitle\";s:22:\"Neurocomputing (Amst.)\";s:7:\"\u0000*\u0000date\";s:4:\"2013\";s:9:\"\u0000*\u0000volume\";s:3:\"116\";s:8:\"\u0000*\u0000issue\";s:0:\"\";s:8:\"\u0000*\u0000spage\";s:2:\"30\";s:8:\"\u0000*\u0000epage\";s:2:\"37\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0925-2312\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:12:\"MENGZHUO LUO\";s:10:\"\u0000*\u0000aufirst\";s:0:\"\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:14:\"SHOUMING ZHONG\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:0:\"\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:152:\"Advanced Theory and Methodology in Intelligent Computing: Selected papers from the Seventh International Conference on Intelligent Computing (ICIC 2011)\";s:8:\"\u0000*\u0000title\";s:130:\"New delay-distribution-dependent stability analysis for discrete-time stochastic neural networks with randomly time-varying delays\";s:8:\"\u0000*\u0000place\";s:9:\"Amsterdam\";s:6:\"\u0000*\u0000pub\";s:8:\"Elsevier\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:1:\"8\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Base Search access
"O:12:\"ArXivOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:28:\"10.1016\/j.neucom.2011.11.035\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:130:\"New delay-distribution-dependent stability analysis for discrete-time stochastic neural networks with randomly time-varying delays\";s:9:\"\u0000*\u0000jtitle\";s:26:\"Neurocomputing (Amsterdam)\";s:9:\"\u0000*\u0000stitle\";s:22:\"Neurocomputing (Amst.)\";s:7:\"\u0000*\u0000date\";s:4:\"2013\";s:9:\"\u0000*\u0000volume\";s:3:\"116\";s:8:\"\u0000*\u0000issue\";s:0:\"\";s:8:\"\u0000*\u0000spage\";s:2:\"30\";s:8:\"\u0000*\u0000epage\";s:2:\"37\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0925-2312\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:12:\"MENGZHUO LUO\";s:10:\"\u0000*\u0000aufirst\";s:0:\"\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:1:{i:0;s:14:\"SHOUMING ZHONG\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:0:\"\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:152:\"Advanced Theory and Methodology in Intelligent Computing: Selected papers from the Seventh International Conference on Intelligent Computing (ICIC 2011)\";s:8:\"\u0000*\u0000title\";s:130:\"New delay-distribution-dependent stability analysis for discrete-time stochastic neural networks with randomly time-varying delays\";s:8:\"\u0000*\u0000place\";s:9:\"Amsterdam\";s:6:\"\u0000*\u0000pub\";s:8:\"Elsevier\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:1:\"8\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
arXiv access
