Combining machine learning models through multiple data division methods for PM2.5 forecasting in Northern Xinjiang, China-Reference-Cited by-同舟云学术

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Combining machine learning models through multiple data division methods for PM2.5 forecasting in Northern Xinjiang, China

Published:2021-07-07 Issue:8 Volume:193 Page:
ISSN:0167-6369
Container-title:Environmental Monitoring and Assessment
language:en
Short-container-title:Environ Monit Assess

Author:

Ren Miaomiao,Sun Wei^ORCID,Chen Shu

Funder

Top-Notch Young Talents of Pearl River Talents Plan

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s10661-021-09233-5.pdf

Reference54 articles.

1. Abderrahim, H., Chellali, M. R., & Hamou, A. (2016). Forecasting PM10 in Algiers: Efficacy of multilayer perceptron networks [https://doi.org/10.1007/s11356-015-5406-6]. Environmental Science and Pollution Research, 23(2), 1634–1641. http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=AegeanSoftware&SrcApp=NoteExpress&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000368200200066

2. Atkinson, R. W., Fuller, G. W., Anderson, H. R., Harrison, R. M., & Armstrong, B. (2010). Urban ambient particle metrics and health [https://doi.org/10.1097/EDE.0b013e3181debc88]. Epidemiology, 21(4), 501–511. http://journals.lww.com/00001648-201007000-00013

3. Azid, A., Juahir, H., Toriman, M. E., Kamarudin, M. K. A., Saudi, A. S. M., Hasnam, C. N. C., Aziz, N. A. A., Azaman, F., Latif, M. T., Zainuddin, S. F. M., Osman, M. R., & Yamin, M. (2014). Prediction of the Level of Air Pollution Using Principal Component Analysis and Artificial Neural Network Techniques: a Case Study in Malaysia. Water Air and Soil Pollution, 225(8), Article 2063. https://doi.org/10.1007/s11270-014-2063-1

4. Barma, S. D., Das, B., Giri, A., Majumder, S., & Bose, P. K. (2011). Back propagation artificial neural network (BPANN) based performance analysis of diesel engine using biodiesel https://doi.org/10.1063/1.3517229. Journal of Renewable and Sustainable Energy, 3(1), 013101. https://doi.org/10.1063/1.3517229

5. Bhatt, H. S., Singh, R., Vatsa, M., & Ratha, N. K. (2014). Improving cross-resolution face matching using ensemble-based co-transfer learning [https://doi.org/10.1109/TIP.2014.2362658]. IEEE Transactions on Image Processing, 23(12), 5654–5669. https://www.ieeexplore.ieee.org/document/6919334/http://xplorestaging.ieee.org/ielx7/83/6924847/06919334.pdf?arnumber=6919334

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