Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/23929
Título: | Global exponential stability of nonautonomous neural network models with continuous distributed delays |
Autor(es): | Esteves, Salete Gokmen, Elçin Oliveira, José J. |
Palavras-chave: | Hopfield neural network BAM neural network Time-varying coefficient Distributed time delay Periodic solution Global exponential stability |
Data: | 1-Mai-2013 |
Editora: | Elsevier 1 |
Revista: | Applied Mathematics and Computation |
Resumo(s): | For a family of non-autonomous differential equations with distributed delays, we give sufficient conditions for the global exponential stability of an equilibrium point. This family includes most of the delayed models of neural networks of Hopfield type, with time-varying coefficients and distributed delays. For these models, we establish sufficient conditions for their global exponential stability. The existence and global exponential stability of a periodic solution is also addressed. A comparison of results shows that these results are general, news, and add something new to some earlier publications. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/23929 |
DOI: | 10.1016/j.amc.2013.03.035 |
ISSN: | 0096-3003 |
Versão da editora: | http://www.sciencedirect.com/science/article/pii/S0096300313002889 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CMAT - Artigos em revistas com arbitragem / Papers in peer review journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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AMC-salete-elcin-jj.pdf | Documento principal | 263,14 kB | Adobe PDF | Ver/Abrir |