DocumentCode :
3634356
Title :
Modeling of high power LED illumination distribution using ANN
Author :
İsmail Kiyak;Vedat Topuz;Bülent Oral
Author_Institution :
Marmara University Technical Education Faculty Department of Electrical Education, Istanbul, TURKEY
fYear :
2009
Abstract :
High power light emitting diodes (HP-LEDs) are more suitable for energy saving applications and have becoming replacing traditional fluorescent and incandescent bulbs for its energy efficient. Therefore, HP-LED lighting has been regarded in the next-generation lighting. In this study, illumination distribution of white color HP-LED was examined and modeled by artificial neural network (ANN) to use at the different lighting applications. Illuminance measurements were done at different distances and voltage levels in the isolated test room. The obtained data was used to model the HP-LED illuminance distribution by ANN. As the realized ANN model, it was presented illumination distribution graphs. Matlab´s neural network tool box was used for the simulations.
Keywords :
"Light emitting diodes","Lighting","Artificial neural networks","Mathematical model","Fluorescence","Energy efficiency","Voltage","Testing","Computer languages","Neural networks"
Publisher :
ieee
Conference_Titel :
Electrical and Electronics Engineering, 2009. ELECO 2009. International Conference on
Print_ISBN :
978-1-4244-5106-7
Type :
conf
DOI :
10.1109/ELECO.2009.5355341
Filename :
5355341
Link To Document :
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