Internet Archive Scholar

Air Quality Prediction of Pollution Sources Based on Wavelet Neural Network

Hong-Da JI, Li YANG, Yan-Feng WANG, Xiu-Bin DAI, Jun WANG
2017 Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017)   unpublished

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (3.0 MB)
https://web.archive.org/web/20180727063933/https://download.atlantis-press.com/article/25884596/pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL. The file type is application/pdf.

In order to realize the prediction of air quality of pollution sources, this paper uses the method of wavelet neural network. In this paper, the pollutant concentration values of pollution sources were predicted, so as to realize the monitoring and early warning of pollution source emission. In this paper, the main chemical plants in Taizhou city are selected as the research object. The wavelet neural network is used to forecast the concentration of sulfur dioxide, nitrogen oxide of the
more » ... plant emissions. Finally, the experiments show that the wavelet neural network is useful to forecast the concentration of pollution sources.
doi:10.2991/eeeis-17.2017.45 fatcat:ibp4bkgf65dpfo7aw537ul6ohy
Citation

Hong-Da JI, Li YANG, Yan-Feng WANG, Xiu-Bin DAI, Jun WANG. "Air Quality Prediction of Pollution Sources Based on Wavelet Neural Network." Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017) (2017)