Neural network model for designing automotive devices using SMD LED |
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Authors: | A V Ortega I N Silva |
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Institution: | 1. Department of Electrical Engineering, University of S?o Paulo, Av. Trabalhador Sancarlense 400, CEP 13566-590, S?o Carlos, S?o Paulo, Brazil
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Abstract: | The advantages offered by the electronic component LED (Light Emitting Diode) have resulted in a quick and extensive application
of this device in the replacement of incandescent lights. In this combined application, however, the relationship between
the design variables and the desired effect or result is very complex and renders it difficult to model using conventional
techniques. This paper consists of the development of a technique using artificial neural networks that makes it possible
to obtain the luminous intensity values of brake lights using SMD (Surface Mounted Device) LEDs from design data. This technique
can be utilized to design any automotive device that uses groups of SMD LEDs. The results of industrial applications using
SMD LED are presented to validate the proposed technique. |
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Keywords: | Brake light SMD LED Artificial neural networks Intelligent systems Automobile industry |
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