Bolun Chen1, 2, Guochang Zhu1, *, Min Ji1, Yongtao Yu1, Jianyang Zhao1, Wei Liu3
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1039-1049, 2020, DOI:10.32604/cmc.2020.010583
Abstract Air quality prediction is an important part of environmental governance. The
accuracy of the air quality prediction also affects the planning of people’s outdoor
activities. How to mine effective information from historical data of air pollution and
reduce unimportant factors to predict the law of pollution change is of great significance
for pollution prevention, pollution control and pollution early warning. In this paper, we
take into account that there are different trends in air pollutants and that different climatic
factors have different effects on air pollutants. Firstly, the data of air pollutants in
different cities are collected by a sliding… More >
Login
Register
