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https://hdl.handle.net/1822/35513
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Campo DC | Valor | Idioma |
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dc.contributor.author | Salete, Esteves | por |
dc.contributor.author | Oliveira, José J. | por |
dc.date.accessioned | 2015-06-09T14:05:15Z | - |
dc.date.available | 2015-06-09T14:05:15Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Esteves, S., & Oliveira, J. J. (2015). Global asymptotic stability of nonautonomous Cohen-Grossberg neural network models with infinite delays. Applied Mathematics and Computation, 265, 333-346. doi: 10.1016/j.amc.2015.04.103 | - |
dc.identifier.issn | 0096-3003 | por |
dc.identifier.uri | https://hdl.handle.net/1822/35513 | - |
dc.description.abstract | For a general Cohen-Grossberg neural network model with potentially unbounded time-varying coeffi cients and infi nite distributed delays, we give su fficient conditions for its global asymptotic stability. The model studied is general enough to include, as subclass, the most of famous neural network models such as Cohen-Grossberg, Hopfi eld, and bidirectional associative memory. Contrary to usual in the literature, in the proofs we do not use Lyapunov functionals. As illustrated, the results are applied to several concrete models studied in the literature and a comparison of results shows that our results give new global stability criteria for several neural network models and improve some earlier publications. | por |
dc.description.sponsorship | The second author research was suported by the Research Centre of Mathematics of the University of Minho with the Portuguese Funds from the "Fundacao para a Ciencia e a Tecnologia", through the project PEstOE/MAT/UI0013/2014. The authors thank the referee for valuable comments. | por |
dc.language.iso | eng | por |
dc.publisher | Elsevier 1 | por |
dc.relation | Fundação para a Ciência e Tecnologia | por |
dc.rights | openAccess | - |
dc.subject | Cohen-Grossberg neural networks | por |
dc.subject | Unbounded time-varying coefficients | por |
dc.subject | Unbounded distributed delays | por |
dc.subject | Global asymptotic stability | por |
dc.title | Global asymptotic stability of nonautonomous Cohen-Grossberg neural network models with infinite delays | por |
dc.type | article | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | http://www.sciencedirect.com/science/journal/00963003/265 | por |
sdum.publicationstatus | published | por |
oaire.citationStartPage | 333 | por |
oaire.citationEndPage | 346 | por |
oaire.citationTitle | Applied mathematics and computation | por |
oaire.citationVolume | 265 | por |
dc.identifier.doi | 10.1016/j.amc.2015.04.103 | por |
dc.subject.fos | Ciências Naturais::Matemáticas | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | Applied Mathematics and Computation | por |
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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manuscript-final.pdf | Documento principal | 290,61 kB | Adobe PDF | Ver/Abrir |