Neural simulation of Petri nets

dc.contributor國立臺灣師範大學資訊教育研究所zh_tw
dc.contributor.authorChen, S. W.en_US
dc.contributor.authorFang, C. Y.en_US
dc.contributor.authorChang, K. E.en_US
dc.date.accessioned2014-10-30T09:32:09Z
dc.date.available2014-10-30T09:32:09Z
dc.date.issued1999-02-01zh_TW
dc.description.abstractPetri nets and neural networks share a number of analogies. Investigations of their relationships can be sorted into two categories: (a) the modeling of neural activities with Petri nets, and (b) the neural simulation of Petri nets. The work presented in this paper belongs to the second category. Unlike divide-and-conquer approaches, the proposed method settles the extraneous skeleton of simulators. Inherent distinctions of Petri nets are characterized by the individual constituents of simulators. The constructed simulators thus reveal a consistently uniform structure on a macroscopic level. Compared with those generated by the divide-and-conquer approaches, ours look much portable and are empirically economic. Furthermore, in a fully parallel machine with enough nodes the overall time complexity of the neural simulator will be constant.en_US
dc.description.urihttp://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6V12-48CP9K3-4-H&_cdi=5662&_user=1227126&_pii=S0167819198001070&_origin=search&_coverDate=02%2F28%2F1999&_sk=999749997&view=c&wchp=dGLbVzW-zSkWb&md5=98256af889e010e643f2bc0c64985fdf&ie=/sdarticle.pdfzh_TW
dc.identifierntnulib_tp_A0904_01_029zh_TW
dc.identifier.issn0167-8191zh_TW
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/34330
dc.languageenzh_TW
dc.publisherElsevieren_US
dc.relationParalell Computing, 25, 183-207. (SCI, EI)en_US
dc.relation.urihttp://dx.doi.org/10.1016/S0167-8191(98)00107-0zh_TW
dc.subject.otherPetri netsen_US
dc.subject.otherNeural simulatorsen_US
dc.subject.otherEquivalence proofen_US
dc.subject.otherFormatteren_US
dc.subject.otherLatcheren_US
dc.subject.otherAggregatoren_US
dc.subject.otherAssociatoren_US
dc.subject.otherCompeteren_US
dc.titleNeural simulation of Petri netsen_US

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