Journal of Atmospheric and Environmental Optics, Volume. 19, Issue 1, 62(2024)
On-road high-emitter identification method based on mixed kernel extreme learning machine
[1] Fan W B, Chen J H, Qian J et al. Effects of vehicle emissions on human's health[J]. Chinese Journal of Environmental Management, 8, 110-113(2016).
[2] Li Z R. Study of Key Problems for Capturing High-Emitters in Road Network Remote Sensing System[D](2020).
[3] Bishop G A, Stedman D H, Peterson J E et al. A cost-effectiveness study of carbon monoxide emissions reduction utilizing remote sensing[J]. Air & Waste, 43, 978-988(1993).
[4] Pujadas M, Domínguez-SáEZ A, De la Fuente J. Real-driving emissions of circulating Spanish car fleet in 2015 using RSD Technology[J]. Science of the Total Environment, 576, 193-209(2017).
[5] Huang Y H, Lee C K C, Yam Y S et al. Rapid detection of high-emitting vehicles by on-road remote sensing technology improves urban air quality[J]. Science Advances, 8, eabl7575(2022).
[6] Guo H F, Zeng J, Hu Y M. Neural network modeling of vehicle gross emitter prediction based on remote sensing data[C], 943-946(2006).
[7] Zeng J, Guo H F, Hu Y M. A PKGV-ANN model for vehicle high emitters identification based on remote sensing data[C], 171-175(2008).
[8] Li Z R, Kang Y, Lv W J et al. High-emitter identification model establishment using weighted extreme learning machine and active sampling[J]. Neurocomputing, 441, 79-91(2021).
[9] Xu Z Y, Wang R J, Zhang C et al. Automatic identification of high-emitting vehicle based on deep feature clustering[J]. Journal of Transportation Systems Engineering and Information Technology, 21, 298-309(2021).
[10] Xu Z Y, Wang R B, Kang Y et al. Analysis and prediction of main influencing factors in mobile source remote sensing[J]. Journal of Atmospheric and Environmental Optics, 17, 220-229(2022).
[11] Huang G, Zhu Q, Siew C. Extreme learning machine: Theory and applications[J]. Neurocomputing, 70, 489-501(2006).
[12] Huang H, Lan H Y, Huang Y B. A detection method of SO2 concentration based on DBN and ELM[J]. Journal of Atmospheric and Environmental Optics, 15, 207-216(2020).
[13] Wang T D, Liu W Q, Zhang Y J et al. Research of on-road vehicle emissions remote sensing system[J]. Journal of Atmospheric and Environmental Optics, 2, 198-202(2007).
[14] Huang G B, Zhou H M, Ding X J et al. Extreme learning machine for regression and multiclass classification[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 42, 513-529(2012).
[15] Zhang W J, Han D Z, Li K C et al. Wireless sensor network intrusion detection system based on MK-ELM[J]. Soft Computing, 24, 12361-12374(2020).
[16] Wu D H, Wang Z L, Chen Y et al. Mixed-kernel based weighted extreme learning machine for inertial sensor based human activity recognition with imbalanced dataset[J]. Neurocomputing, 190, 35-49(2016).
[17] Van der Maaten L, Hinton G. Visualizing data using t-SNE[J]. Journal of Machine Learning Research, 9, 2579-2605(2008).
[18] Xu X B, Zhao Y Q, Lu L B et al. Research on vegetable and fruit image classification method based on LBP particle swarm optimization mixed kernel function ELM[J]. Machine Design & Research, 37, 15-20(2021).
[19] He N H, Ding P, Ma F Y et al. Research on transformer fault diagnosis method based on optimized extreme learning machine[J]. Chinese Journal of Electron Devices, 44, 897-902(2021).
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Peijie DUAN, Zerui LI, Kun LI, Zhenyi XU, Zhao LYU, Yu KANG. On-road high-emitter identification method based on mixed kernel extreme learning machine[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(1): 62
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Received: Jun. 20, 2022
Accepted: --
Published Online: Mar. 19, 2024
The Author Email: Zerui LI (lizr@iai.ustc.edu.cn)