A Hybrid Long Short-Term Memory Network Based on Wind and Rain Sensitive and Its Application to PM2.5 Prediction

Author:

Huang Bo-XiangORCID,Lee Shin-JyeORCID

Publisher

Springer Nature Switzerland

Reference13 articles.

1. The top 10 causes of death. WHO. https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death. Accessed 9 Dec 2020

2. Xing, Y.F., Xu, Y.H., Shi, M.H., Lian, Y.X.: The impact of PM2.5 on the human respiratory system. J. Thorac. Dis. 8(1), E69–E74 (2016). https://doi.org/10.3978/j.issn.2072-1439.2016.01.19

3. Huang, Y.-J.: A panel data analysis of air pollution and hospital outpatients and admissions for respiratory and cardiovascular diseases in Taiwan. National Digital Library of Theses and Dissertations in Taiwan (2015). https://hdl.handle.net/11296/zeepxz

4. Yu, C.-H.: A study on the correlation between air pollutants, meteorological factors, and hospital admissions of respiratory diseases - Using Taipei City as an example. National Digital Library of Theses and Dissertations in Taiwan (2009). https://hdl.handle.net/11296/w4vqus

5. Huang, P., Zhang, J., Tang, Y., Liu, L.: Spatial and temporal distribution of PM2.5 pollution in Xi’an City, China. Int. J. Environ. Res. Public Health 12(6), 6608–6625 (2015). https://doi.org/10.3390/ijerph120606608

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