Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6169
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dc.creatorBeyer, Terry-
dc.date2004-10-04T14:43:58Z-
dc.date2004-10-04T14:43:58Z-
dc.date1968-09-01-
dc.date.accessioned2013-10-09T02:43:43Z-
dc.date.available2013-10-09T02:43:43Z-
dc.date.issued2013-10-09-
dc.identifierAIM-166-
dc.identifierhttp://hdl.handle.net/1721.1/6169-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionIn this paper we study recognition of topological invariant properties of patterns by use of finite, rectangular 2-dimensional, interactive arrays of finite state automata (hereafter called modular arrays). The use of modular arrays as pattern recognition devices has been studied by Atrubin [1] and by Unger [2]. Our aim is to show that modular arrays can not only recognize a large variety of topological invariants, but can do so in times that are almost minimal for a certain class of machines. We begin by describing our model of the modular array as a pattern recognition connectivity. Next, we introduce a fundamental transformation of patterns and prove several interesting properties of the transformation. Finally, we apply the transformation to modular arrays to obtain fast methods of recognizing a wide variety of topological invariants.-
dc.format7489364 bytes-
dc.format539367 bytes-
dc.formatapplication/postscript-
dc.formatapplication/pdf-
dc.languageen_US-
dc.relationAIM-166-
dc.titleRecognition of Topological Invariants by Modular Arrays-
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