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dc.contributor.authorBan, Jung-Chaoen_US
dc.contributor.authorChang, Chih-Hungen_US
dc.contributor.authorLin, Song-Sunen_US
dc.date.accessioned2014-12-08T15:21:47Z-
dc.date.available2014-12-08T15:21:47Z-
dc.date.issued2012-04-15en_US
dc.identifier.issn0022-0396en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.jde.2012.01.006en_US
dc.identifier.urihttp://hdl.handle.net/11536/15527-
dc.description.abstractLet Y subset of {-1, 1}(Z infinity xn) be the mosaic solution space of an n-layer cellular neural network. We decouple Y into n subspaces, say Y-(1), Y-(2), ... , Y-(n), and give a necessary and sufficient condition for the existence of factor maps between them. In such a case, Y-(i) is a sofic shift for 1 <= i <= n. This investigation is equivalent to study the existence of factor maps between, two sofic shifts. Moreover, we investigate whether Y-(i) and Y-(j) are topological conjugate, strongly shift equivalent, shift equivalent, or finitely equivalent via the well-developed theory in symbolic dynamical systems. This clarifies, in a multi-layer cellular neural network, each layer's structure. As an extension, we can decouple Y into arbitrary k-subspaces. where 2 <= k <= n, and demonstrates each subspace's structure. (C) 2012 Elsevier Inc. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectSofic shiften_US
dc.subjectStrong shift equivalenceen_US
dc.subjectShift equivalenceen_US
dc.subjectFinite equivalenceen_US
dc.subjectDimension groupen_US
dc.titleOn the structure of multi-layer cellular neural networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.jde.2012.01.006en_US
dc.identifier.journalJOURNAL OF DIFFERENTIAL EQUATIONSen_US
dc.citation.volume252en_US
dc.citation.issue8en_US
dc.citation.spage4563en_US
dc.citation.epage4597en_US
dc.contributor.department應用數學系zh_TW
dc.contributor.departmentDepartment of Applied Mathematicsen_US
dc.identifier.wosnumberWOS:000300861300009-
dc.citation.woscount5-
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