Attracting and quasi-invariant sets for BAM neural networks of neutral-type with time-varying and infinite distributed delays
- Author
- ZHIHUA ZHAO1 ; JIGUI JIAN1
[1] College of Science, China Three Gorges University, Yichang, Hubei 443002, China - Source
Neurocomputing (Amsterdam). 2014, Vol 140, pp 265-272, 8 p ; ref : 28 ref
- ISSN
- 0925-2312
- Scientific domain
- Cognition; Computer science
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Attracting sets BAM neural networks of neutral-type Delay integral inequality Infinite distributed delays Quasi-invariant sets
- Keyword (fr)
- Attracteur Equation intégrale Invariant Inégalité Mémoire associative bidirectionnelle Propriété spectrale Retard Réseau neuronal Système paramètre variable Système réparti Système à retard Temps retard
- Keyword (en)
- Attractor Integral equation Invariant Inequality Bidirectional associative memory Spectral properties Delay Neural network Time varying system Distributed system Delay system Delay time
- Keyword (es)
- Atractor Ecuación integral Invariante Desigualdad Memoria asociativa bidireccional Propiedad espectral Retraso Red neuronal Sistema parámetro variable Sistema repartido Sistema con retardo 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
- 28500517
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.2014.03.015 
https://dx.doi.org/10.1016/j.neucom.2014.03.015
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