Research on Application of BP Artificial Neural Network in Prediction of the concentration of PM2.5 in Beijing
Yuanhua Chen, Lisha Wang, Lina Zhang
Available Online January 2016.
- 10.2991/icsmim-15.2016.135How to use a DOI?
- BP Artificial Neural Network, prediction model, PM 2.5 concentration.
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.
- © 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/).
Cite this article
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 -