Cellular neural networks: Space-dependent template, mosaic patterns and spatial chaos

dc.citation.epage1730en_US
dc.citation.issue8en_US
dc.citation.spage1717en_US
dc.citation.volume12en_US
dc.citation.woscount4
dc.contributor.authorJuang, Jen_US
dc.contributor.authorShieh, SFen_US
dc.contributor.authorTuryn, Len_US
dc.contributor.department應用數學系zh_TW
dc.contributor.departmentDepartment of Applied Mathematicsen_US
dc.date.accessioned2014-12-08T15:42:10Z
dc.date.available2014-12-08T15:42:10Z
dc.date.issued2002-08-01en_US
dc.description.abstractWe consider a Cellular Neural Network (CNN) with a bias term in the integer lattice Z(2) on the plane Z(2). We impose a space-dependent coupling (template) appropriate for CNN in the hexagonal lattice on Z(2). Stable mosaic patterns of such CNN are completely characterized. The spatial entropy of a (p(1), p(2))-translation invariant set is proved to be well-defined and exists. Using such a theorem, we are also able to address the complexities of resulting mosaic patterns.en_US
dc.identifier.doi10.1142/S0218127402005510en_US
dc.identifier.issn0218-1274en_US
dc.identifier.journalINTERNATIONAL JOURNAL OF BIFURCATION AND CHAOSen_US
dc.identifier.urihttp://dx.doi.org/10.1142/S0218127402005510en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/28656
dc.identifier.wosnumberWOS:000178361400003
dc.language.isoen_USen_US
dc.subjectcellular neural networksen_US
dc.subjectspace-dependent templateen_US
dc.subjectspatial chaosen_US
dc.titleCellular neural networks: Space-dependent template, mosaic patterns and spatial chaosen_US
dc.typeArticleen_US

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