Study on prediction and spatial variation of PM2.5 pollution by using improved BP artificial neural network model of computer technology and GIS

被引：0
|
作者：
机构：
[1] Zhang, Ping
[2] Zhang, Tao
[3] He, Liang
[4] Wei, Cailiang
[5] Luo, Sui
[6] Miao, Huan
[7] Huo, Peishu
来源：
Huo, Peishu | 1600年 / Transport and Telecommunication Institute, Lomonosova street 1, Riga, LV-1019, Latvia卷 / 18期
关键词：
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
  • [31] Estimation of PM2.5 Concentrations in China Using a Spatial Back Propagation Neural Network
    Weilin Wang
    Suli Zhao
    Limin Jiao
    Michael Taylor
    Boen Zhang
    Gang Xu
    Haobo Hou
    Scientific Reports, 9
  • [32] Air pollution prediction by using an artificial neural network model
    Maleki, Heidar
    Sorooshian, Armin
    Goudarzi, Gholamreza
    Baboli, Zeynab
    Birgani, Yaser Tahmasebi
    Rahmati, Mojtaba
    CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2019, 21 (06) : 1341 - 1352
  • [33] Air pollution prediction by using an artificial neural network model
    Heidar Maleki
    Armin Sorooshian
    Gholamreza Goudarzi
    Zeynab Baboli
    Yaser Tahmasebi Birgani
    Mojtaba Rahmati
    Clean Technologies and Environmental Policy, 2019, 21 : 1341 - 1352
  • [34] A Spatiotemporal Recurrent Neural Network for Prediction of Atmospheric PM2.5: A Case Study of Beijing
    Liu, Bo
    Yan, Shuo
    Li, Jianqiang
    Li, Yong
    Lang, Jianlei
    Qu, Guangzhi
    IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 8 (03) : 578 - 588
  • [35] Prediction of Hourly PM2.5 and PM10 Concentrations in Chongqing City in China Based on Artificial Neural Network
    Guo, Qingchun
    He, Zhenfang
    Wang, Zhaosheng
    AEROSOL AND AIR QUALITY RESEARCH, 2023, 23 (06)
  • [36] An improved geographic pattern based residual neural network model for estimating PM2.5 concentrations
    Su, Heng
    Chen, Yumin
    Tan, Huangyuan
    Wilson, John P.
    Bao, Lanhua
    Chen, Ruoxuan
    Luo, Jiaxin
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2024, 134
  • [37] Estimation of PM2.5 Concentrations over Beijing with MODIS AODs Using an Artificial Neural Network
    Lyu, Hao
    Dai, Tie
    Zheng, Youfei
    Shi, Guangyu
    Nakajima, Teruyuki
    SOLA, 2018, 14 : 14 - 18
  • [38] Research on PM2.5 concentration prediction algorithm based on graph convolutional neural network model
    Liu, Xiangyu
    Ren, Ge
    Guo, Jiashuo
    Hu, Yuxin
    Lin, Hong
    Proceedings of SPIE - The International Society for Optical Engineering, 2024, 13291
  • [39] Artificial neural networks forecasting of PM2.5 pollution using air mass trajectory based geographic model and wavelet transformation
    Feng, Xiao
    Li, Qi
    Zhu, Yajie
    Hou, Junxiong
    Jin, Lingyan
    Wang, Jingjie
    ATMOSPHERIC ENVIRONMENT, 2015, 107 : 118 - 128
  • [40] Prediction of vertical PM2.5 concentrations alongside an elevated expressway by using the neural network hybrid model and generalized additive model
    Ya Gao
    Zhanyong Wang
    Qing-Chang Lu
    Chao Liu
    Zhong-Ren Peng
    Yue Yu
    Frontiers of Earth Science, 2017, 11 : 347 - 360
12345