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