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Trayectoria de optimización de un manipulador automático usando redes neuronales

dc.contributor.authorAlina, Fedossovaspa
dc.contributor.authorSantoyo Díaz, Julián Santiagospa
dc.date.accessioned2020-10-27T00:20:55Z
dc.date.available2020-10-27T00:20:55Z
dc.date.issued2008-06-01
dc.identifier.issn2539-2115
dc.identifier.issn1657-2831
dc.identifier.urihttp://hdl.handle.net/20.500.12749/8989
dc.description.abstractLas redes neuronales se utilizan para optimizar la trayectoria de un manipulador automático. En primer lugar, se dispone de un manipulador automático de tres grados de libertad. El problema propuesto consiste en encontrar el tiempo total optimo de los desplazamientos los cuales deben ajustar la trayectoria utilizando redes neuronales entrenadas para tal fin. Es un problema de optimización sujeto a un conjunto infinito de restricciones. Para resolver se utilizan tres tipos de redes neuronales de MATLAB 7.0.1spa
dc.format.mimetypeapplication/pdfspa
dc.language.isospaspa
dc.publisherUniversidad Autónoma de Bucaramanga UNAB
dc.relationhttps://revistas.unab.edu.co/index.php/rcc/article/view/1028/1116
dc.relation.urihttps://revistas.unab.edu.co/index.php/rcc/article/view/1028
dc.rightsDerechos de autor 2008 Revista Colombiana de Computación
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/
dc.sourceRevista Colombiana de Computación; Vol. 9 Núm. 1 (2008): Revista Colombiana de Computación; 58-71
dc.subjectInnovaciones tecnológicas
dc.subjectCiencia de los computadores
dc.subjectDesarrollo de tecnología
dc.subjectIngeniería de sistemas
dc.subjectInvestigaciones
dc.subjectTecnologías de la información y las comunicaciones
dc.subjectTIC´s
dc.titleTrayectoria de optimización de un manipulador automático usando redes neuronalesspa
dc.title.translatedOptimization’s trajectory of an automatic manipulator using neural networkseng
dc.publisher.facultyFacultad Ingenieríaspa
dc.type.driverinfo:eu-repo/semantics/article
dc.type.localArtículospa
dc.type.coarhttp://purl.org/coar/resource_type/c_7a1f
dc.subject.keywordsTechnological innovationseng
dc.subject.keywordsComputer scienceeng
dc.subject.keywordsTechnology developmenteng
dc.subject.keywordsSystems engineeringeng
dc.subject.keywordsInvestigationseng
dc.subject.keywordsInformation and communication technologieseng
dc.subject.keywordsICT'seng
dc.subject.keywordsNeural networkseng
dc.subject.keywordsOptimizationeng
dc.subject.keywordsSemi-infinite pmgrammingeng
dc.identifier.instnameinstname:Universidad Autónoma de Bucaramanga UNABspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersion
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.relation.referencesFedossova A., Kafarov V., Mahecha Bolvárquez D.P., Outer Approximations A lgorithm for the Air Pollution Control Problem. 2004.
dc.relation.referencesFedossova A., Stochastic outer approximations algorithms for convex semi-infinite programming problems, Ph.D. Thesis, Moscow State University, Moscow, 2000, (in Russian).
dc.relation.referencesVolkov Y.V., Zavriev S.K., A general Stochastic Outer Approximations Method, SIAM J. Control Optim., 35 (4), 1997, pp. 1387-1421.
dc.relation.referencesA. Ismael F. Vaz, Applications, methods and tools y for SIP, Ph.D. Thesis. Minho University, 2003, (in Portuguese).
dc.relation.referencesElke Haaren - Retagne. A semi-infinite programming algorithm for trajectory planning, Ph.D. Thesis. Trier University, 1992.
dc.relation.referencesBelén Melián, José A. Moreno Pérez, J. Marcos Moreno Vega. Metaheuristics: A global view, Spain - 2003.
dc.relation.referencesBarbolla, Rosa. Optimization: questions, exercises and applications, Prentice Hall -2001 (in Spanish).
dc.relation.referencesIsmael Vaz, Robot trajectory planning with semi-infinite programming, SIAM Joumal on Optimization, vol. 9, no. 2,2001.
dc.relation.referencesCarrillo Esneider y Mora Gleimer. Outer Approximations Algorithm for minimizing costs of Air Pollution Control Problem. Bucaramanga, 2003, p.138-139. Autonomous University of Bucaramanga. School of Systems Engincering.
dc.relation.referencesFedossova A., Kafarov V., Mahecha Bohórquez D.P., Outer Approximations Algorithm for the Air Pollution Control Problem. Colombian Joumal of Computation. Vol.4 No. 2, 2003.
dc.relation.referencesChi, Mei-Hsiu, Linear semi-infinite and nondierentiable programming methods for robot trajectory planning problems. Ph.D. Thesis, Iowa University, 1991.
dc.relation.referencesMedvedev, V.C.; Potemkin, V.G., Neural Network, MATLAB 6.0. Dialog- MIFI, Moscow, 2002 (in Russian).
dc.relation.referencesFedossova A., Santoyo J. Stochastic Algorithm for Search an Optimal Trajectory of an Automatic Manipulator. Colombian Joumal of Computation. Vol. 8 No. 2, Bucaramanga, December 2007.
dc.contributor.cvlacSantoyo Díaz, Julián Santiago [0000538060]spa
dc.contributor.googlescholarSantoyo Díaz, Julián Santiago [W_Nh7eYAAAAJ]spa
dc.contributor.orcidSantoyo Díaz, Julián Santiago [0000-0001-9947-1109]spa
dc.contributor.researchgateSantoyo Díaz, Julián Santiago [Julian-Santoyo]spa
dc.subject.lembInnovaciones tecnológicasspa
dc.subject.lembCiencias de la computaciónspa
dc.subject.lembIngeniería de sistemasspa
dc.subject.lembInvestigacionesspa
dc.subject.lembTecnologías de la información y la comunicaciónspa
dc.identifier.repourlrepourl:https://repository.unab.edu.co
dc.description.abstractenglishNeural networks are used to optimize the trajectory oían automatic manipulator. First, it is had an automatic manipulator of three degrees of freedom. The proposed problem consists of finding total optima' time of displacements which must adjust the trajectory using neural networks trained for that purpose. It is an optimization problem subject to an infinite set of restrictions. For to solve is used three types ofneural networks of MATLAB 7.0.1.eng
dc.subject.proposalRedes neuronalesspa
dc.subject.proposalMejoramientospa
dc.subject.proposalProgramación semi-infinitaspa
dc.subject.proposalDesarrollo tecnológicospa
dc.type.redcolhttp://purl.org/redcol/resource_type/CJournalArticle
dc.rights.creativecommonsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.contributor.researchgroupGrupo de Investigación Preservación e Intercambio Digital de Información y Conocimiento - Prismaspa
dc.contributor.researchgroupGrupo de Investigaciones Clínicasspa


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