Dissipativity of neural networks with continuously distributed delays

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dc.contributor.authorLi, Bing
dc.contributor.authorXu, Daoyi
dc.date.accessioned2021-07-20T17:55:36Z
dc.date.available2021-07-20T17:55:36Z
dc.date.issued2006-09-28
dc.description.abstractIn this paper, we study the dissipativity and existence of a global attracting set for neural networks models with continuously distributed delays. We use nonnegative matrix and differential inequality techniques to obtain results under general conditions. Also, we give an example to illustrate our results.
dc.description.departmentMathematics
dc.formatText
dc.format.extent7 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationLi, B., & Xu, D. (2006). Dissipativity of neural networks with continuously distributed delays. <i>Electronic Journal of Differential Equations, 2006</i>(119), pp. 1-7.
dc.identifier.issn1072-6691
dc.identifier.urihttps://hdl.handle.net/10877/13992
dc.language.isoen
dc.publisherTexas State University-San Marcos, Department of Mathematics
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceElectronic Journal of Differential Equations, 2006, San Marcos, Texas: Texas State University-San Marcos and University of North Texas.
dc.subjectDifferential inequality
dc.subjectDissipativity
dc.subjectStability
dc.subjectGlobal attracting set
dc.subjectSpectral radius
dc.titleDissipativity of neural networks with continuously distributed delays
dc.typeArticle

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