Existence and attractivity of periodic solutions to Cohen-Grossberg neural network with distributed delays

dc.contributor.authorLi, Yongkun
dc.contributor.authorZhu, Lifei
dc.date.accessioned2021-05-18T16:02:23Z
dc.date.available2021-05-18T16:02:23Z
dc.date.issued2005-01-27
dc.description.abstractWe study the existence and exponential attractivity of periodic solutions to Cohen-Grossberg neural network with distributed delays. Our results are obtained by applying the continuation theorem of coincidence degree theory and a general Halanay inequality.
dc.description.departmentMathematics
dc.formatText
dc.format.extent6 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationLi, Y., & Zhu, L. (2005). Existence and attractivity of periodic solutions to Cohen-Grossberg neural network with distributed delays. <i>Electronic Journal of Differential Equations, 2005</i>(12), pp. 1-6.
dc.identifier.issn1072-6691
dc.identifier.urihttps://hdl.handle.net/10877/13583
dc.language.isoen
dc.publisherTexas State University-San Marcos, Department of Mathematics
dc.rightsAttribution 4.0 International
dc.rights.holderThis work is licensed under a Creative Commons Attribution 4.0 International License.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceElectronic Journal of Differential Equations, 2005, San Marcos, Texas: Texas State University-San Marcos and University of North Texas.
dc.subjectCohen-Grossberg neural network
dc.subjectDistributed delays
dc.subjectPeriodic solutions
dc.subjectContinuation theorem
dc.subjectCoincidence degree theory
dc.subjectHalanay inequality
dc.titleExistence and attractivity of periodic solutions to Cohen-Grossberg neural network with distributed delays
dc.typeArticle

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