Prediction of PM2.5 concentration based on the weighted RF-LSTM model

被引：0
|
作者：
Weifu Ding
Huihui Sun
机构：
[1] North Minzu University,School of Mathematics and Information Science
来源：
Earth Science Informatics | 2023年 / 16卷
关键词：
Prediction; PM2.5; Random Forest; LSTM; Weighted RF-LSTM; Deep learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：3023 / 3037
页数：14
相关论文
共 50 条
  • [1] Prediction of PM2.5 concentration based on the weighted RF-LSTM model
    Ding, Weifu
    Sun, Huihui
    [J]. EARTH SCIENCE INFORMATICS, 2023, 16 (04) : 3023 - 3037
  • [2] Prediction of PM2.5 Concentration Based on CEEMD-LSTM Model
    Li, Jiangeng
    Shen, Jianing
    [J]. PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 8439 - 8444
  • [3] Research on PM2.5 Concentration Prediction Based on the CE-AGA-LSTM Model
    Wu, Xiaoxuan
    Zhang, Chen
    Zhu, Jun
    Zhang, Xin
    [J]. APPLIED SCIENCES-BASEL, 2022, 12 (14):
  • [4] A spatial correlation prediction model of urban PM2.5 concentration based on deconvolution and LSTM
    Zhang, Bo
    Liu, Yuan
    Yong, RuiHan
    Zou, Guojian
    Yang, Ru
    Pan, Jianguo
    Li, Maozhen
    [J]. NEUROCOMPUTING, 2023, 544
  • [5] PM2.5 concentration prediction using weighted CEEMDAN and improved LSTM neural network
    Li Zhang
    Jinlan Liu
    Yuhan Feng
    Peng Wu
    Pengkun He
    [J]. Environmental Science and Pollution Research, 2023, 30 : 75104 - 75115
  • [6] PM2.5 concentration prediction using weighted CEEMDAN and improved LSTM neural network
    Zhang, Li
    Liu, Jinlan
    Feng, Yuhan
    Wu, Peng
    He, Pengkun
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (30) : 75104 - 75115
  • [7] Prediction of PM2.5 Concentration Based on the LSTM-TSLightGBM Variable Weight Combination Model
    Jiang, Xuchu
    Luo, Yiwen
    Zhang, Biao
    [J]. ATMOSPHERE, 2021, 12 (09)
  • [8] PM2.5 Prediction Based on the Combined EMD-LSTM Model
    Zhao, Jingyi
    He, Fahu
    Ji, Zhanlin
    Ganchev, Ivan
    [J]. 2021 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI 2021), 2021, : 193 - 195
  • [9] Forecasting hourly PM2.5 concentration with an optimized LSTM model
    Tran, Huynh Duy
    Huang, Hsiang-Yu
    Yu, Jhih-Yuan
    Wang, Sheng-Hsiang
    [J]. ATMOSPHERIC ENVIRONMENT, 2023, 315
  • [10] Novel convolution and LSTM model for forecasting PM2.5 concentration
    Zhao, Wenfang
    Zhou, Yong
    Tang, Wei
    [J]. International Journal of Performability Engineering, 2019, 15 (06) : 1528 - 1537
12345