Research on PM2.5 concentration prediction algorithm based on graph convolutional neural network model

被引：0
|
作者：
Liu, Xiangyu [1 ]
Ren, Ge [2 ]
Guo, Jiashuo [1 ]
Hu, Yuxin [2 ]
Lin, Hong [2 ]
机构：
[1] School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China
[2] Zhengzhou Institute of Metrology, Zhengzhou, China
来源：
Proceedings of SPIE - The International Society for Optical Engineering | 2024年 / 13291卷
关键词：
Concentration prediction - Convolutional networks - Convolutional neural network - Deep learning - Graph neural networks - Monitoring stations - PM2.5 concentration - Pm2.5 concentration prediction - Prediction modelling - Traffic emissions;
D O I：
132916J
中图分类号：
学科分类号：
摘要：
12
引用
收藏
相关论文
共 50 条
  • [41] Prediction of PM2.5 Concentration Based on CEEMD-LSTM Model
    Li, Jiangeng
    Shen, Jianing
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 8439 - 8444
  • [42] A PM2.5 Concentration Prediction Model Based on CART-BLS
    Wang, Lin
    Wang, Yibing
    Chen, Jian
    Shen, Xiuqiang
    ATMOSPHERE, 2022, 13 (10)
  • [43] Hourly PM2.5 Concentration Prediction Based on Empirical Mode Decomposition and Geographically Weighted Neural Network
    Chen, Yan
    Hu, Chunchun
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2024, 13 (03)
  • [44] PM2.5 Concentration Prediction Model Based on Random Forest and SHAP
    Pan, Mengyao
    Xia, Bisheng
    Huang, Wenbo
    Ren, Ying
    Wang, Siyuan
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2024, 38 (05)
  • [45] Prediction of PM2.5 concentration in urban agglomeration of China by hybrid network model
    Wu, Shuaiwen
    Li, Hengkai
    JOURNAL OF CLEANER PRODUCTION, 2022, 374
  • [46] Short-term prediction of PM2.5 concentration by hybrid neural network based on sequence decomposition
    Wu, Xiaoxuan
    Zhu, Jun
    Wen, Qiang
    PLOS ONE, 2024, 19 (05):
  • [47] Prediction of Monthly PM2.5 Concentration in Liaocheng in China Employing Artificial Neural Network
    He, Zhenfang
    Guo, Qingchun
    Wang, Zhaosheng
    Li, Xinzhou
    ATMOSPHERE, 2022, 13 (08)
  • [48] A deep learning model for PM2.5 concentration prediction
    Zhang, Zhendong
    Ma, Xiang
    Yan, Ke
    2021 IEEE INTL CONF ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, INTL CONF ON PERVASIVE INTELLIGENCE AND COMPUTING, INTL CONF ON CLOUD AND BIG DATA COMPUTING, INTL CONF ON CYBER SCIENCE AND TECHNOLOGY CONGRESS DASC/PICOM/CBDCOM/CYBERSCITECH 2021, 2021, : 428 - 433
  • [49] PM2.5 concentration prediction using weighted CEEMDAN and improved LSTM neural network
    Li Zhang
    Jinlan Liu
    Yuhan Feng
    Peng Wu
    Pengkun He
    Environmental Science and Pollution Research, 2023, 30 : 75104 - 75115
  • [50] PM2.5 concentration prediction using weighted CEEMDAN and improved LSTM neural network
    Zhang, Li
    Liu, Jinlan
    Feng, Yuhan
    Wu, Peng
    He, Pengkun
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (30) : 75104 - 75115
12345