Forward Predicting Chromatic-Optical Parameters of the Mixed Light of White-Red Light-Emitting Diode Configurations Based on Deep Learning Algorithms
This paper presents a novel deep learning framework that integrates experimental measurements with advanced modeling techniques to predict key optical parameters, including luminous flux, correlated color temperature (CCT), and chromaticity coordinates of white-red light-emitting diodes (LED) config...
Saved in:
| Main Authors: | Songsheng Lin, Huanting Chen, Yin Zheng, Quanji Xie, Xuehua Shen, Huichuan Lin, Shuo Lin, Yan Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10999086/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis and Tunable Models for Phosphor-Converted White Light-Emitting Diode Based on Spectral Compensation
by: Xuehua Shen, et al.
Published: (2023-01-01) -
Machine-Learning Assisted Prediction of Spectral Power Distribution for Full-Spectrum White Light-Emitting Diode
by: Jiajie Fan, et al.
Published: (2020-01-01) -
Electrostatic Field Effect Light-Emitting Diode
by: Matthew Hartensveld, et al.
Published: (2020-01-01) -
Ultraviolet Electrostatic Field Effect Light-Emitting Diode
by: Matthew Hartensveld, et al.
Published: (2020-01-01) -
COLOR AND SPECTRAL CHARACTERISTICS OF WHITE LIGHT EMITTING DIODES AND THEIR VARIATION DURING AGING
by: A. L. Gurskii, et al.
Published: (2019-12-01)