Research on Application of BP Artificial Neural Network in Prediction of the concentration of PM2.5 in Beijing

DOI

10.2991/icsmim-15.2016.135How to use a DOI?

Keywords

BP Artificial Neural Network, prediction model, PM 2.5 concentration.

Abstract

According to the PM2.5 hourly average monitoring concentrations of Beijing environmental air monitoring stations during may and June 2014, the BP artificial neural network prediction model was built and tested, which verifies the feasibility and accuracy of BP artificial neural network model to predict PM2.5 hourly average concentration. And the forecasting results show that the reasonable structure and suitable training algorithm are the key factors to the accuracy, reliability, and consistency of PM2.5 concentrations.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuanhua Chen
AU  - Lisha Wang
AU  - Lina Zhang
PY  - 2016/01
DA  - 2016/01
TI  - Research on Application of BP Artificial Neural Network in Prediction of the concentration of PM2.5 in Beijing
BT  - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
PB  - Atlantis Press
SP  - 723
EP  - 727
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsmim-15.2016.135
DO  - 10.2991/icsmim-15.2016.135
ID  - Chen2016/01
ER  -