The almost periodic solution of lotka-volterra recurrent neural networks with delays

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dc.contributor.author Liu, Yiguang en_US
dc.contributor.author Liu, Bing Bing en_US
dc.contributor.author Ling, Steve en_US
dc.contributor.editor en_US
dc.date.accessioned 2012-02-02T09:43:01Z
dc.date.available 2012-02-02T09:43:01Z
dc.date.issued 2011 en_US
dc.identifier 2010001451 en_US
dc.identifier.citation Liu Yiguang, Liu Bing Bing, and Ling Steve 2011, 'The almost periodic solution of lotka-volterra recurrent neural networks with delays', Elsevier BV, vol. 74, no. 6, pp. 1062-1068. en_US
dc.identifier.issn 0925-2312 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/15147
dc.description.abstract By the fixed-point theorem subject to different polyhedrons and some inequalities (e.g.,the inequality resulted from quadratic programming), we obtain three theorems for the Lotkaa??Volterra recurrent neural network shaving almost periodic coefficients and delays. One of the three theorems can only ensure the existence of an almost periodic solution, whose existence and uniqueness the other two theorems are about. By using Lyapunov function, the sufficient condition guaranteeing the global stability of the solution is presented. Furthermore, two numerical examples are employed to illustrate the feasibility and validity of the obtained criteria. Compared with known results, the networks model is novel, and the results are extended and improved. en_US
dc.language en_US
dc.publisher Elsevier BV en_US
dc.relation.isbasedon http://dx.doi.org/10.1016/j.neucom.2010.11.009 en_US
dc.title The almost periodic solution of lotka-volterra recurrent neural networks with delays en_US
dc.parent Neurocomputing en_US
dc.journal.volume 74 en_US
dc.journal.number 6 en_US
dc.publocation Netherlands en_US
dc.identifier.startpage 1062 en_US
dc.identifier.endpage 1068 en_US
dc.cauo.name FEIT. A/DRsch Ctre for Health Technologies en_US
dc.conference Verified OK en_US
dc.for 080000 en_US
dc.personcode 0000066321 en_US
dc.personcode 0000066322 en_US
dc.personcode 106694 en_US
dc.percentage 100 en_US
dc.classification.name Information And Computing Sciences en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords Lotkaa??Volterra recurrent neural networks Almost periodic solution Lyapunov functional Stability en_US
dc.staffid en_US
dc.staffid 106694 en_US


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