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Periodic bi-directional Cohen-Grossberg neural networks with distributed delays

Author
ANPING CHEN1 ; JINDE CAO2
[1] Department of Mathematics, Xiangnan University, Chenzhou, Hunan 423000, China
[2] Department of Mathematics, Southeast University, Nanjing 210096, China
Source

Nonlinear analysis. 2007, Vol 66, Num 12, pp 2947-2961, 15 p ; ref : 21 ref

CODEN
NOANDD
ISSN
0362-546X
Scientific domain
Mathematics; Mechanics acoustics
Publisher
Elsevier, Oxford
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
34K13; 34K20; 92B20 Periodic bi-directional Cohen-Grossberg neural networks; Global exponential stability; Distributed delays
Keyword (fr)
Analyse non linéaire Modèle mathématique Retard Réseau neuronal Stabilité exponentielle Réseau Cohen-Grossberg Stabilité globale
Keyword (en)
Nonlinear analysis Mathematical model Delay Neural network Exponential stability Cohen-Grossberg network
Keyword (es)
análisis no lineal Modelo matemático Retraso Red neuronal Estabilidad exponencial
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02E Mathematical analysis / 001A02E07 Ordinary differential equations

Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A01 General aspects / 002A01B Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)

Discipline
Biological sciences. Generalities. Modelling. Methods Generalities in biological sciences Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
18633429

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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