Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/45253
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dc.contributor.authorRodríguez, Eduardoen_US
dc.contributor.authorMontero, Gustavoen_US
dc.contributor.authorMontenegro, Rafaelen_US
dc.contributor.authorEscobar, José Maríaen_US
dc.contributor.authorGonzález-Yuste, José Maríaen_US
dc.contributor.otherMontenegro Armas, Rafael-
dc.contributor.otherEscobar, Jose M.-
dc.contributor.otherMontero, Gustavo-
dc.contributor.otherRodriguez, Eduardo-
dc.date.accessioned2018-11-22T08:24:19Z-
dc.date.available2018-11-22T08:24:19Z-
dc.date.issued2002en_US
dc.identifier.isbn978-3-540-43591-4en_US
dc.identifier.isbn3540435913
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10553/45253-
dc.description.abstractThe efficiency of a mass consistent model for wind field adjustment depends on several parameters that arise in various stages of the process. First, those involved in the construction of the initial wind field using horizontal interpolation and vertical extrapolation of the wind measures registered at meteorological stations. On the other hand, the Gauss precision moduli which allow from a strictly horizontal wind adjustment to a pure vertical one. In general, the values of all of these parameters are based on empirical laws. The main goal of this work is the estimation of these parameters using genetic algorithms, such that the wind velocities observed at the measurement station are regenerated as much as possible by the model.en_US
dc.languageengen_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.sourceSloot P.M.A., Hoekstra A.G., Tan C.J.K., Dongarra J.J. (eds) Computational Science — ICCS 2002. Lecture Notes in Computer Science, vol 2329, p. 950-959. Springer, Berlin, Heidelbergen_US
dc.subject12 Matemáticasen_US
dc.subject.otherAdaptive mesh refinementen_US
dc.subject.otherFinite element methoden_US
dc.subject.otherGenetic algorithmsen_US
dc.subject.otherMass consistent modelsen_US
dc.subject.otherParameter estimationen_US
dc.subject.otherWind field modellingen_US
dc.titleParameter estimation in a three-dimensional wind field model using genetic algorithmsen_US
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conferenceInternational Conference on Computational Science
dc.relation.conferenceInternational Conference on Computational Science, ICCS 2002
dc.identifier.doi10.1007/3-540-46043-8_96en_US
dc.identifier.scopus23044533581-
dc.identifier.isi000181350500096-
dcterms.isPartOfComputational Science-Iccs 2002, Pt I, Proceedings-
dcterms.sourceComputational Science-Iccs 2002, Pt I, Proceedings[ISSN 0302-9743],v. 2329, p. 950-959-
dc.contributor.authorscopusid7401953314-
dc.contributor.authorscopusid56256002000-
dc.contributor.authorscopusid35617533100-
dc.contributor.authorscopusid7101961409-
dc.contributor.authorscopusid6507300174-
dc.description.lastpage959-
dc.description.firstpage950-
dc.relation.volume2329-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.identifier.wosWOS:000181350500096-
dc.contributor.daisngid1187392-
dc.contributor.daisngid689363-
dc.contributor.daisngid656681-
dc.contributor.daisngid622620-
dc.contributor.daisngid3496788-
dc.identifier.investigatorRIDL-1365-2014-
dc.identifier.investigatorRIDK-7710-2014-
dc.identifier.investigatorRIDL-1011-2014-
dc.identifier.investigatorRIDK-9395-2014-
dc.contributor.wosstandardWOS:Rodriguez, E
dc.contributor.wosstandardWOS:Montero, G
dc.contributor.wosstandardWOS:Montenegro, R
dc.contributor.wosstandardWOS:Escobar, JM
dc.contributor.wosstandardWOS:Gonzalez-Yuste, JM
dc.date.coverdateDiciembre 2002
dc.identifier.conferenceidevents120344
dc.identifier.ulpgces
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptSIANI: Modelización y Simulación Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptSIANI: Modelización y Simulación Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.deptSIANI: Modelización y Simulación Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.deptSIANI: Modelización y Simulación Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-2701-2971-
crisitem.author.orcid0000-0001-5641-442X-
crisitem.author.orcid0000-0002-4164-457X-
crisitem.author.orcid0000-0002-8608-7076-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameRodríguez Barrera, Eduardo Miguel-
crisitem.author.fullNameMontero García, Gustavo-
crisitem.author.fullNameMontenegro Armas, Rafael-
crisitem.author.fullNameEscobar Sánchez, José M-
crisitem.event.eventsstartdate21-04-2002-
crisitem.event.eventsstartdate21-04-2002-
crisitem.event.eventsenddate24-04-2002-
crisitem.event.eventsenddate24-04-2002-
Appears in Collections:Actas de congresos
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