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dc.contributor.authorOrtega, A. V.
dc.contributor.authorda Silva, I. N.
dc.date.accessioned2014-05-20T15:25:30Z
dc.date.available2014-05-20T15:25:30Z
dc.date.issued2002-01-01
dc.identifierhttp://dx.doi.org/10.1109/IJCNN.2002.1007569
dc.identifier.citationProceeding of the 2002 International Joint Conference on Neural Networks, Vols 1-3. New York: IEEE, p. 2674-2679, 2002.
dc.identifier.issn1098-7576
dc.identifier.urihttp://hdl.handle.net/11449/35918
dc.description.abstractThe advantages offered by the electronic component LED (Light Emitting Diode) have caused a quick and wide application of this device in replacement of incandescent lights. However, in its combined application, the relationship between the design variables and the desired effect or result is very complex and it becomes difficult to model by conventional techniques. This work consists of the development of a technique, through artificial neural networks, to make possible to obtain the luminous intensity values of brake lights using LEDs from design data.en
dc.format.extent2674-2679
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofProceeding of the 2002 International Joint Conference on Neural Networks, Vols 1-3
dc.sourceWeb of Science
dc.titleTechnique for application of hi-bright LED in automobile industry through intelligent systemsen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIEEE
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.description.affiliationUNESP FE DEE, BR-17033360 Bauru, SP, Brazil
dc.description.affiliationUnespUNESP FE DEE, BR-17033360 Bauru, SP, Brazil
dc.identifier.doi10.1109/IJCNN.2002.1007569
dc.identifier.wosWOS:000177402800474
dc.rights.accessRightsAcesso restrito
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Engenharia, Baurupt
unesp.author.orcid0000-0002-1296-5454[2]
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