| 基于BP神经网络的LED可靠性模型研究 |
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| 引用本文： | 黄伟明,文尚胜,夏云云. 基于BP神经网络的LED可靠性模型研究[J]. 发光学报, 2015, 36(8): 962-968. DOI: 10.3788/fgxb20153608.0962 |
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| 作者姓名： | 黄伟明 文尚胜 夏云云 |
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| 作者单位： | 发光材料与器件国家重点实验室 华南理工大学, 广东 广州 510640 |
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| 基金项目： | 广东省战略性新兴产业专项，广州市科技计划 |
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| 摘 要： | 根据LED可靠性与相关参数的映射关系,建立拓扑结构为6-12-1的BP神经网络。以实测白光LED芯片的理想因子、结温、色温漂移等参数为输入量,以寿命为输出量,计算模型精度。研究结果表明,该模型有良好的外推能力及鲁棒性,可在短时间内成功预测LED寿命,神经网络训练结果相关系数为99.8%,检验组误差小于3%。
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| 关 键 词： | 发光二极管 可靠性 BP神经网络 权重分析 |
| 收稿时间： | 2015-04-27 |
Reliability Model of LEDs Based on Artificial Neural Network |
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| HUANG Wei-ming,WEN Shang-sheng,XIA Yun-yun. Reliability Model of LEDs Based on Artificial Neural Network[J]. Chinese Journal of Luminescence, 2015, 36(8): 962-968. DOI: 10.3788/fgxb20153608.0962 |
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| Authors: | HUANG Wei-ming WEN Shang-sheng XIA Yun-yun |
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| Affiliation: | State Key Laboratory of Luminescent Materials and Devices, South China University of Technology, Guangzhou, 510640, China |
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| Abstract: | We proposed the 6-12-1 topology BP neural network according to the LED reliability and relevant element. The ideal factor, junction temperature, color temperature drift of the white LED chip and so on were measured as the input and the life as output to calculate the precision of the model. The model shows a good ability of extrapolation and robustness, and can predict the life of the LED in a short time. The linear correlation of ANN reaches 99.8%, and the inspection group error is less than 3%. |
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| Keywords: | LED reliability BP neural network weight analysis |
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