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dc.creatorWang, Jun
dc.creatorIshdorj, Tseren-Onolt
dc.creatorPan, Linqiang
dc.date.accessioned2016-03-23T10:11:28Z
dc.date.available2016-03-23T10:11:28Z
dc.date.issued2009
dc.identifier.isbn9788461328369es
dc.identifier.urihttp://hdl.handle.net/11441/38945
dc.description.abstractSpiking neural P systems were proved to be Turing complete as function computing or number generating devices. Moreover, it has been considered in several papers that spiking neural P systems are also computationally efficient devices working in a non-deterministic way or with exponential pre-computed resources. In this paper, neuron budding rules are introduced in the framework of spiking neural P systems, which is biologically inspired by the growth of dendritic tree of neuron. Using neuron budding rules in SN P systems is a way to trade space for time to solve computational intractable problems. The approach is examined here with a deterministic and polynomial time solution to sat problem without using exponential pre-computed resources.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherFénix Editoraes
dc.relation.ispartofProceedings of the Seventh Brainstorming Week on Membrane Computing, vol.II, 235-251. Sevilla, E.T.S. de Ingeniería Informática, 2-6 de Febrero, 2009es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleAbout the Efficiency of Spiking Neural P Systemses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/38945

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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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