Research on Air Quality Prediction Based on Neural Networks

In view of the increasingly serious air pollution problem, to alleviate the harmful effects of air pollution on human body and society, this paper studies the prediction of air quality. Due to the nonlinear, regional and dispersive characteristics of pollutant data, the effective utilization rate of data is low and the prediction process is extremely complicated. How to effectively build a prediction model and improve the prediction accuracy of air quality is a hot issue in current research. This paper mainly introduces the current research status of air quality prediction.