光子学报, 2016, 45 (4): 0423006, 网络出版: 2016-05-11  

基于果蝇算法优化径向基神经网络模型的白光发光二极管可靠性

Study on the Reliability of White LED Using RBF Neural Network Optimization by FOA Algorithm
作者单位
1 华南理工大学 发光材料与器件国家重点实验室,广州 510640
2 广东银禧科技股份有限公司, 广州 东莞 523000
引用该论文

黄伟明, 文尚胜, 傅轶. 基于果蝇算法优化径向基神经网络模型的白光发光二极管可靠性[J]. 光子学报, 2016, 45(4): 0423006.

HUANG Wei-ming, WEN Shang-sheng, FU Yi. Study on the Reliability of White LED Using RBF Neural Network Optimization by FOA Algorithm[J]. ACTA PHOTONICA SINICA, 2016, 45(4): 0423006.

参考文献

[1] MCPHERSON J W.Reliability physics and engineering:Time-to-failure Modeling[M].Beijing,2013.

[2] RUMYANTSEVA S L,SHUR M S.Low frequency noise and long-term stability of noncoherent light sources[J].Journal of Applied Physies,2004,96(2):966-969.

[3] RUMYANTSEV S L,WETZEL C,SHUR M S.Wavelength-resolved low-frequeney noise of GalnN/GaN green light emitting diodes[J].Journal of Applied Physics,2006,100(8):084506.

[4] 钱敏华,林燕丹,孙耀杰.基于光-电-热-寿命理论的LED寿命预测模型[J].光学学报,2012,32(8):823001-823006.

    QIAN Min-hua,LIN Yan-dan,SUN Yao-jie.Life prediction model for LEDs based on the photo-electro-thermal-life theory[J]. Acta Optica Sinica, 2012,32(8):823001-823006.

[5] 郭伟玲,樊星,崔德胜.一种基于伪失效寿命的LED可靠性快速评价方法[J].发光学报,2013,34(2):213-217.

    GUO Wei-ling,FAN Xing,CUI De-sheng.Rapid reliability evaluation method of LED based on pseudo-failure lifetime[J].Chinese Journal of Luminescenc,2013,34(2):213-217.

[6] 韩力群.人工神经网络理论、设计及应用[M].化学工业出版社,2011.

[7] JIANG H,DONG Y,WANG J Z,et al.Intelligent optimization models based on hard-ridge penalty and RBF for forecasting global solar radiation[J].Energy Conversion and Management,2015,95:42-58.

[8] MOHAMMADI R,FATEMI M T.A new hybrid evolutionary based RBF networks method for forecasting time series:A case study of forecasting emergency supply demand time series[J].Engineering Applications of Artificial Intelligence,2014,36:204-214.

[9] 张晓明,周群,郭宝林,等.运用RBF径向基神经网络识别基于小波变换的淫羊藿苷红外光谱指纹特征[J].光谱学与光谱分析,2009,29(07):1830-1834.

    ZHANG Xiao-ming,ZHOU Qun,GUO Bao-lin,et al.Identifying the characteristics of FTIR spectra of herba epimedii icariinvia wavelet analysis and RBF neural network[J].Spectroscopy and Spectral Analysis,2009,29(07):1830-1834.

[10] NIU J W,ZHONG W M,LIANG Y,et al.Fruit fly optimization algorithm based on differential evolution and its application on gasification process operation optimization[J].Knowledge-Based Systems,2015,88:253-263.

[11] PAN W T.A new fruit fly optimization algorithm: taking the financial distress model as an example[J].Knowledge-Based Systems,2012,26:69-74.

[12] SEYED M M, NAJMEH A, SEYED T,et al.Ardeshir bahreininejad, optimizing a location allocation-inventory problem in a two-echelon supply chain network: A modified fruit fly optimization algorithm[J].Computers & Industrial Engineering,2015,87:543-560.

[13] 刘立明,郑晓东.LED结温与光谱特性关系的测量[J].光子学报,2009,38(05):1069-1073.

    LIU Li-ming,ZHENG Xiao-dong. Measurements of LEDs spectral characteristics and junction temperature[J].Acta Photonica Sinica,2009,38(05):1069-1073.

[14] KANG J M,KIM J W,CHOI J H,et al.Life-time estimation of high-power blue light-emitting diode chips[J].Microelectronics Reliability, 2009,49(9-11): 1231-1235.

[15] CHEN Z Z,LIU P,QI S L,et al.Junction temperature and reliability of high-power flip-chip light emitting diodes[J].Materials Science in Semiconductor Processing,2007,10(4-5): 206-210.

[16] YUAN X F,LIU Y M,XIANG Y Z,et al.Parameter identification of BIPT system using chaotic-enhanced fruit fly optimization algorithm[J].Applied Mathematics and Computation,2015,268:1267-1281.

黄伟明, 文尚胜, 傅轶. 基于果蝇算法优化径向基神经网络模型的白光发光二极管可靠性[J]. 光子学报, 2016, 45(4): 0423006. HUANG Wei-ming, WEN Shang-sheng, FU Yi. Study on the Reliability of White LED Using RBF Neural Network Optimization by FOA Algorithm[J]. ACTA PHOTONICA SINICA, 2016, 45(4): 0423006.

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