Dynamic behaviors of memristor-based recurrent neural networks with time-varying delays
- Author
- AILONG WU1 2 ; ZHIGANG ZENG1 2
[1] Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
[2] Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Wuhan 430074, China - Source
Neural networks. 2012, Vol 36, pp 1-10, 10 p ; ref : 3/4 p
- ISSN
- 0893-6080
- Scientific domain
- Cognition; Electronics; Computer science; Neurology
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Memristor Pattern memory Recurrent neural networks Stability
- Keyword (fr)
- Convergence exponentielle Convergence numérique Equation différentielle Inhibition Invariant Mémoire non volatile Système paramètre variable Temps retard
- Keyword (en)
- Exponential convergence Numerical convergence Differential equation Inhibition Invariant Non volatile memory Time varying system Delay time
- Keyword (es)
- Convergencia exponencial Convergencia numérica Ecuación diferencial Inhibición Invariante Memoria no volátil 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
- 26721270
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.neunet.2012.08.009 
https://dx.doi.org/10.1016/j.neunet.2012.08.009
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