Application of intelligent systems for specification of automotive equipments using LEDs

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:27:12Z
dc.date.accessioned2022-10-05T13:21:47Z
dc.date.available2014-05-20T13:27:12Z
dc.date.available2022-10-05T13:21:47Z
dc.date.created2014-05-20T13:27:12Z
dc.date.issued2005-11-01
dc.identifierApplied Soft Computing. Amsterdam: Elsevier B.V., v. 6, n. 1, p. 18-25, 2005.
dc.identifier1568-4946
dc.identifierhttp://hdl.handle.net/11449/8883
dc.identifier10.1016/j.asoc.2004.10.002
dc.identifierWOS:000232573500002
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3885376
dc.description.abstractThe advantages offered by the electronic component light emitting diode ( LED) 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. (C) 2005 Elsevier B.V. All rights reserved.
dc.languageeng
dc.publisherElsevier B.V.
dc.relationApplied Soft Computing
dc.relation3.907
dc.relation1,199
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectartificial neural networks
dc.subjectintelligent systems
dc.subjectbrake light
dc.subjectLED
dc.subjectautomobile industry
dc.titleApplication of intelligent systems for specification of automotive equipments using LEDs
dc.typeArtigo


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