DocumentCode :
691950
Title :
Estimation of Chromaticity Coordinates for LEDs Array by Modulation of Red or Yellow LEDs with Artificial Neural Network
Author :
Hsi-Chao Chen ; Wei-Jhe Chen ; Yang Zhou
Author_Institution :
Grad. Sch. of Optoelectron., Nat. Yunlin Univ. of Sci. & Technol., Douliou, Taiwan
fYear :
2013
fDate :
16-18 Oct. 2013
Firstpage :
88
Lastpage :
91
Abstract :
The modulation of color temperature of illumination always use the red or yellow LED to adjust the white LED. The research was to use the Artificial Neural Network to estimate the chromaticity coordinates of 3x2 LED array mixing by red and yellow LEDs. There are four algorithm methods: Levenberg-Marquardt (LM), Broyden Fletch Goldfard Shan no (BFGS), Fletcher-Reeves Conjugate Gradient (FRCG) and Scaled Conjugate Gradient (SCG) to train the learning function. The modulation color temperature was control at 2700K. The result showed that the artificial neural network model has a good and stable predictive ability by FRCG method.
Keywords :
conjugate gradient methods; light emitting diodes; lighting; modulation; optical neural nets; BFGS; Broyden Fletch Goldfard Shanno; FRCG method; Fletcher-Reeves conjugate gradient; LED array; Levenberg-Marquardt; SCG; artificial neural network model; estimation of chromaticity coordinate; illumination; learning function; modulation color temperature; predictive ability; red LED; scaled conjugate gradient; white LED; yellow LED; Arrays; Artificial neural networks; Light emitting diodes; Mathematical model; Prediction algorithms; Training; Artificial Neural Network (ANN); arrays; chromaticity coordinates; lighting emitting diode (LED);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/IIH-MSP.2013.31
Filename :
6846587
Link To Document :
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