Mostrar el registro sencillo del ítem

Ponencia

dc.creatorCabarle, Francis George C.
dc.creatorAdorna, Henry N.
dc.creatorPérez Jiménez, Mario de Jesús
dc.date.accessioned2016-01-21T09:41:28Z
dc.date.available2016-01-21T09:41:28Z
dc.date.issued2015
dc.identifier.isbn978-84-944366-2-8es
dc.identifier.urihttp://hdl.handle.net/11441/33007
dc.description.abstractSpiking neural P systems (in short, SNP systems) are membrane computing models inspired by the pulse coding of information in biological neurons. SNP systems with standard rules have neurons that emit at most one spike (the pulse) each step, and have either an input or output neuron connected to the environment. SNP transducers were introduced, where both input and output neurons were used. More recently, SNP modules were introduced which generalize SNP transducers: extended rules are used (more than one spike can be emitted each step) and a set of input and output neurons can be used. In this work we continue relating SNP modules and nite automata: (i) we amend previous constructions for DFA and DFST simulations, (ii) improve the construction from three neurons down to one neuron, (iii) DFA with output are simulated, and (iv) we generate automatic sequences using results from.es
dc.description.sponsorshipMinisterio de Economía y Competitividad TIN2012-37434
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherFénix Editoraes
dc.relation.ispartofProceedings of the Thirteenth Brainstorming Week on Membrane Computing, 77-90. Sevilla, E.T.S. de Ingeniería Informática, 2-6 de Febrero, 2015,es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMembrane computinges
dc.subjectSpiking neural P systemses
dc.subjectFinite automataes
dc.subjectAutomatic sequenceses
dc.titleNotes on Spiking Neural P Systems and Finite Automataes
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificiales
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/TIN2012-37434
dc.contributor.groupUniversidad de Sevilla. TIC193: Computación Natural
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/33007
dc.contributor.funderMinisterio de Economía y Competitividad (MINECO). España

FicherosTamañoFormatoVerDescripción
077_snp-aut.pdf328.8KbIcon   [PDF] Ver/Abrir  

Este registro aparece en las siguientes colecciones

Mostrar el registro sencillo del ítem

Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Excepto si se señala otra cosa, la licencia del ítem se describe como: Attribution-NonCommercial-NoDerivatives 4.0 Internacional