A balanced social LSTM for PM2.5 concentration prediction based on local spatiotemporal correlation

被引：0
|
作者：
Shi, Lukui [1 ,2 ]
Zhang, Huizhen [1 ,2 ]
Xu, Xia [3 ]
Han, Ming [4 ]
Zuo, Peiliang [5 ]
机构：
[1] School of Artificial Intelligence, Hebei University of Technology, Tianjin,300401, China
[2] Hebei Province Key Laboratory of Big Data Calculation, Tianjin,300401, China
[3] College of Computer Science, Nankai University, Tianjin,300071, China
[4] School of Computer Science and Engineering, Shijiazhuang University, Shijiazhuang,050035, China
[5] Department of Electronic and Communication Engineering, Beijing Institute of Electronic Science and Technology, Beijing,100070, China
来源：
Chemosphere | 2022年 / 291卷
基金：
中国国家自然科学基金;
关键词：
'current - Concentration prediction - Hot topics - Mean squared error - PM 2.5 - PM2.5 concentration prediction - Pollution prevention - Prediction-based - Spatial interaction - Spatiotemporal correlation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] PM2.5 CONCENTRATION PREDICTION USING IMPROVED LSTM IN BIG DATA ENVIRONMENT
    Wu, Yaqin
    Wang, Xiaodong
    FRESENIUS ENVIRONMENTAL BULLETIN, 2020, 29 (11): : 10098 - 10108
  • [22] Prediction of PM2.5 Concentration Based on Ensemble Learning
    Peng Y.
    Zhao Z.-R.
    Wu T.-X.
    Wang J.
    Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications, 2019, 42 (06): : 162 - 169
  • [23] Research on PM2.5 Spatiotemporal Forecasting Model Based on LSTM Neural Network
    Zhao, Fang
    Liang, Ziyi
    Zhang, Qiyan
    Seng, Dewen
    Chen, Xiyuan
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2021, 2021
  • [24] A Spatiotemporal Prediction Model of PM2.5 Concentration Incorporating Geographic Environmental Anisotropy
    Wang, Junjie
    Wang, Da
    Ding, Chen
    Tang, Jianbo
    Shi, Yan
    Yang, Xuexi
    Journal of Geo-Information Science, 2024, 26 (09) : 2106 - 2122
  • [25] Prediction of PM2.5 Concentration Using Spatiotemporal Data with Machine Learning Models
    Ma, Xin
    Chen, Tengfei
    Ge, Rubing
    Xv, Fan
    Cui, Caocao
    Li, Junpeng
    ATMOSPHERE, 2023, 14 (10)
  • [26] A spatiotemporal XGBoost model for PM2.5 concentration prediction and its application in Shanghai
    Wang, Zidong
    Wu, Xianhua
    Wu, You
    HELIYON, 2023, 9 (12)
  • [27] PM2.5 Prediction Based on the Combined EMD-LSTM Model
    Zhao, Jingyi
    He, Fahu
    Ji, Zhanlin
    Ganchev, Ivan
    2021 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI 2021), 2021, : 193 - 195
  • [28] Prediction of PM2.5 Concentration in Ningxia Hui Autonomous Region Based on PCA-Attention-LSTM
    Ding, Weifu
    Zhu, Yaqian
    ATMOSPHERE, 2022, 13 (09)
  • [29] Spatial-temporal correlation-based LSTM algorithm and its application in PM2.5 prediction
    Zhao Y.
    Revue d'Intelligence Artificielle, 2020, 34 (01) : 29 - 38
  • [30] 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
12345