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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Neural network model for designing automotive devices using SMD LED


    Contributors:

    Published in:

    Publication date :

    2008-04-01


    Size :

    8 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Neural network model for designing automotive devices using SMD LED

    Ortega, A. V. / Silva, I. N. | Online Contents | 2008


    Neural network model for designing automotive devices using SMD LED

    Ortega, A. V. / Silva, I. N. | British Library Online Contents | 2008


    Designing automotive engine piston

    Winship, J.W. | Engineering Index Backfile | 1967


    Designing for automotive assembly

    Schamisso,A. | Automotive engineering | 1990


    Designing Automotive ECUs Using Thapsody-in-MicroC

    Schedl, P. / VDI / VDE | British Library Conference Proceedings | 2000