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Spatial disorder of CNN - With asymmetric output function

dc.citation.epage2095en_US
dc.citation.issue8en_US
dc.citation.spage2085en_US
dc.citation.volume11en_US
dc.citation.woscount9
dc.contributor.authorBan, JCen_US
dc.contributor.authorChien, KPen_US
dc.contributor.authorLin, SSen_US
dc.contributor.authorHsu, CHen_US
dc.contributor.department應用數學系zh_TW
dc.contributor.departmentDepartment of Applied Mathematicsen_US
dc.date.accessioned2014-12-08T15:43:37Z
dc.date.available2014-12-08T15:43:37Z
dc.date.issued2001-08-01en_US
dc.description.abstractThis investigation will describe the spatial disorder of one-dimensional Cellular Neural Networks (CNN). The steady state solutions of the one-dimensional CNN can be replaced as an iteration map which is one dimensional under certain parameters. Then, the maps are chaotic and the spatial entropy of the steady state solutions is a three-dimensional devil-staircase like function.en_US
dc.identifier.doi10.1142/S0218127401003358en_US
dc.identifier.issn0218-1274en_US
dc.identifier.journalINTERNATIONAL JOURNAL OF BIFURCATION AND CHAOSen_US
dc.identifier.urihttp://dx.doi.org/10.1142/S0218127401003358en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/29492
dc.identifier.wosnumberWOS:000171681400002
dc.language.isoen_USen_US
dc.titleSpatial disorder of CNN - With asymmetric output functionen_US
dc.typeArticleen_US

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