Air quality forecasting using SVR with quasi-linear kernel

Huilin Zhu, Jinglu Hu

研究成果: Conference contribution

抄録

Air pollution has threaten people's health. It is urgent for the government to strengthen and enhance air pollution monitoring capacity. In this paper, we propose an air quality prediction model to infer air pollutant concentrations, such as CO, NOx, NO2. The idea is to design a sophisticate piecewise linear model by using a gated linear network. A top k% winner-take-all autoencoder is first built to generate a set of binary sequences as the gate control signals, so as to perform the input space partitioning. The piecewise linear model is then identified in an exact same way as a standard support vector regression (SVR) with a quasi-linear kernel composed by using the gate control signals. Results of our experiments shows that our proposed SVR prediction model outperforms other state-of-the-art methods.

元の言語English
ホスト出版物のタイトルCITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems
編集者Mohammad S. Obaidat, Zhenqiang Mi, Kuei-Fang Hsiao, Petros Nicopolitidis, Daniel Cascado-Caballero
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538640883
DOI
出版物ステータスPublished - 2019 8
イベント2019 International Conference on Computer, Information and Telecommunication Systems, CITS 2019 - Beijing, China
継続期間: 2019 8 282019 8 31

出版物シリーズ

名前CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems

Conference

Conference2019 International Conference on Computer, Information and Telecommunication Systems, CITS 2019
China
Beijing
期間19/8/2819/8/31

Fingerprint

Air quality
Air pollution
Linear networks
Binary sequences
Health
Kernel
Support vector regression
Prediction model
Monitoring
Air
Experiments
Air pollutants
Winner-take-all
Government
Experiment
Partitioning
Top-k

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications
  • Hardware and Architecture

これを引用

Zhu, H., & Hu, J. (2019). Air quality forecasting using SVR with quasi-linear kernel. : M. S. Obaidat, Z. Mi, K-F. Hsiao, P. Nicopolitidis, & D. Cascado-Caballero (版), CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems [8862114] (CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CITS.2019.8862114

Air quality forecasting using SVR with quasi-linear kernel. / Zhu, Huilin; Hu, Jinglu.

CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems. 版 / Mohammad S. Obaidat; Zhenqiang Mi; Kuei-Fang Hsiao; Petros Nicopolitidis; Daniel Cascado-Caballero. Institute of Electrical and Electronics Engineers Inc., 2019. 8862114 (CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems).

研究成果: Conference contribution

Zhu, H & Hu, J 2019, Air quality forecasting using SVR with quasi-linear kernel. : MS Obaidat, Z Mi, K-F Hsiao, P Nicopolitidis & D Cascado-Caballero (版), CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems., 8862114, CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems, Institute of Electrical and Electronics Engineers Inc., 2019 International Conference on Computer, Information and Telecommunication Systems, CITS 2019, Beijing, China, 19/8/28. https://doi.org/10.1109/CITS.2019.8862114
Zhu H, Hu J. Air quality forecasting using SVR with quasi-linear kernel. : Obaidat MS, Mi Z, Hsiao K-F, Nicopolitidis P, Cascado-Caballero D, 編集者, CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems. Institute of Electrical and Electronics Engineers Inc. 2019. 8862114. (CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems). https://doi.org/10.1109/CITS.2019.8862114
Zhu, Huilin ; Hu, Jinglu. / Air quality forecasting using SVR with quasi-linear kernel. CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems. 編集者 / Mohammad S. Obaidat ; Zhenqiang Mi ; Kuei-Fang Hsiao ; Petros Nicopolitidis ; Daniel Cascado-Caballero. Institute of Electrical and Electronics Engineers Inc., 2019. (CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems).
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