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Spatial disorder of cellular neural networks with biased term

dc.citation.epage534en_US
dc.citation.issue3en_US
dc.citation.spage525en_US
dc.citation.volume12en_US
dc.citation.woscount11
dc.contributor.authorBan, JCen_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.accessioned2014-12-08T15:42:47Z
dc.date.available2014-12-08T15:42:47Z
dc.date.issued2002-03-01en_US
dc.description.abstractThis study describes the spatial disorder of one-dimensional Cellular Neural Networks (CNN) with a biased term by applying the iteration map method. Under certain parameters, the map is one-dimensional and the spatial entropy of stable stationary solutions can be obtained explicitly as a staircase function.en_US
dc.identifier.doi10.1142/S0218127402004541en_US
dc.identifier.issn0218-1274en_US
dc.identifier.journalINTERNATIONAL JOURNAL OF BIFURCATION AND CHAOSen_US
dc.identifier.urihttp://dx.doi.org/10.1142/S0218127402004541en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/29003
dc.identifier.wosnumberWOS:000175109500005
dc.language.isoen_USen_US
dc.subjectspatial disorderen_US
dc.subjecttopological entropyen_US
dc.subjectBernoulli shiften_US
dc.subjecttransition matrixen_US
dc.titleSpatial disorder of cellular neural networks with biased termen_US
dc.typeArticleen_US

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