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About the Efficiency of Spiking Neural P Systems
dc.creator | Wang, Jun | |
dc.creator | Ishdorj, Tseren-Onolt | |
dc.creator | Pan, Linqiang | |
dc.date.accessioned | 2016-03-23T10:11:28Z | |
dc.date.available | 2016-03-23T10:11:28Z | |
dc.date.issued | 2009 | |
dc.identifier.isbn | 9788461328369 | es |
dc.identifier.uri | http://hdl.handle.net/11441/38945 | |
dc.description.abstract | Spiking 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.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Fénix Editora | es |
dc.relation.ispartof | Proceedings of the Seventh Brainstorming Week on Membrane Computing, vol.II, 235-251. Sevilla, E.T.S. de Ingeniería Informática, 2-6 de Febrero, 2009 | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | About the Efficiency of Spiking Neural P Systems | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
dc.identifier.idus | https://idus.us.es/xmlui/handle/11441/38945 |
Ficheros | Tamaño | Formato | Ver | Descripción |
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22_SNP_neuron_production.pdf | 448.2Kb | [PDF] | Ver/ | |