Author:
Zhang Bo,Zou Guojian,Qin Dongming,Lu Yunjie,Jin Yupeng,Wang Hui
Funder
Natural Science Foundation of Shanghai
Science and Technology Commission of Shanghai Municipality
National Natural Science Foundation of China
Subject
Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering
Reference60 articles.
1. A. Alahi, K. Goel, V. Ramanathan, A. Robicquet, L. Fei-Fei, and S. Savarese, "Social lstm: Human trajectory prediction in crowded spaces," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016.
2. Becerra-Rico, J., Aceves-Fernández, M. A., Esquivel-Escalante, K., Pedraza-Ortega, J. C., “ Airborne particle pollution predictive model using Gated Recurrent Unit (GRU) deep neural networks,” Earth Sci. Inf., pp. 1–14, 2020.
3. Bui, T. C., Le, V. D., Cha, S. K., “A Deep Learning Approach for Air Pollution Forecasting in South Korea Using Encoder-Decoder Networks & LSTM,” in arXiv preprint arXiv:1804.07891, 2018.
4. Chang-Hoi, H., Park, I., Oh, H. R., Gim, H. J., Hur, S. K., Kim, J., Choi, D. R., “Development of a PM2. 5 prediction model using a recurrent neural network algorithm for the Seoul metropolitan area, Republic of Korea,” Atmos. Environ., 2020.
5. A novel prediction model of PM2. 5 mass concentration based on back propagation neural network algorithm;Chen;Journal of Intelligent & Fuzzy Systems,2019
Cited by
66 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献