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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 5
1491-1495

Attention based PM2.5 multi-order spatio-temporal graph convolutional network inference model

Peng Yifei
Yang Wei
School of Electronic & Information Engineering, Beijing Jiaotong University, Beijing 100044, China
DOI: 10.19734/j.issn.1001-3695.2021.10.0471

Abstract

Fine particulate matter(PM2.5) is closely related to the atmospheric environment and human life. The number of PM2.5 monitoring stations in the city is limited, unable to provide fine-grained PM2.5 concentration, and most existing PM2.5 concentration inference methods lack the ability to establish a multi-order correlation coefficient matrix based on dynamic spatial and temporal characteristics. This paper proposed an attention based PM2.5 multi-order spatio-temporal graph convolutional network inference model(MOSTGCNInf). This model used a graph neural network to extract feature relationships, adopted an attention mechanism to dynamically construct an attention coefficient matrix of the order node and performed spatio-temporal feature fusion to improve the PM2.5 concentration inference effect. It carried out comparative experiments on the public data set, used accuracy and F1 value as evaluation indicators, verifying the effectiveness of the method through ablation experiments. Experimental results show that MOSTGCNInf can improve the results of PM2.5 concentration estimation.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.10.0471
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 5
Section: System Development & Application
Pages: 1491-1495
Serial Number: 1001-3695(2022)05-034-1491-05

Publish History

[2022-01-05] Accepted Paper
[2022-05-05] Printed Article

Cite This Article

彭一非, 杨维. 基于注意力机制的PM2.5多阶图卷积网络推断模型 [J]. 计算机应用研究, 2022, 39 (5): 1491-1495. (Peng Yifei, Yang Wei. Attention based PM2.5 multi-order spatio-temporal graph convolutional network inference model [J]. Application Research of Computers, 2022, 39 (5): 1491-1495. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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