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Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation

  • Published:2017-12 Issue: Volume:231 Page:997-1004
  • ISSN:0269-7491
  • Container-title:Environmental Pollution
  • language:en
  • Short-container-title:Environmental Pollution

Author:

Li Xiang,Peng Ling,Yao XiaojingORCID,Cui Shaolong,Hu Yuan,You ChengzengORCID,Chi Tianhe

Funder

National Science-technology Support Plan Project of China

China Scholarship Council (CSC)

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Toxicology,General Medicine

Reference48 articles.

1. Social lstm: human trajectory prediction in crowded spaces;Alahi,2016

2. PM 10 emission forecasting using artificial neural networks and genetic algorithm input variable optimization;Antanasijević;Sci. Total Environ.,2013

3. Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions;Bai;Atmos. Pollut. Res.,2016

4. Towards improving the simulation of meteorological fields in urban areas through updated/advanced surface fluxes description;Baklanov;Atmos. Chem. Phys.,2008

5. Time series analysis: forecasting and control;Box;J. Operational Res. Soc.,1976

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