You are in the accessibility menu

Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/35918
Full metadata record
DC FieldValueLanguage
dc.contributor.authorOrtega, A. V.-
dc.contributor.authorda Silva, I. N.-
dc.contributor.authorIEEE-
dc.date.accessioned2014-05-20T15:25:30Z-
dc.date.accessioned2016-10-25T18:00:00Z-
dc.date.available2014-05-20T15:25:30Z-
dc.date.available2016-10-25T18:00:00Z-
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.identifier.urihttp://acervodigital.unesp.br/handle/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.sourceWeb of Science-
dc.titleTechnique for application of hi-bright LED in automobile industry through intelligent systemsen
dc.typeoutro-
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-
dc.relation.ispartofProceeding of the 2002 International Joint Conference on Neural Networks, Vols 1-3-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

There are no files associated with this item.
 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.