Atmospheric pollution analysis and prediction method and system based on machine learning

The invention provides an atmospheric pollution analysis and prediction method and system based on machine learning, and relates to the technical field of atmospheric environment prediction. Comprising the following steps: acquiring historical meteorological data and atmospheric pollution observation data; training a neural network and a random forest by using the obtained data to obtain a trained neural network and random forest; performing prediction by using the trained neural network, and outputting a first prediction result; performing prediction by using the trained random forest, and outputting a second prediction result; and obtaining a final prediction result based on the first prediction result and the second prediction result. According to the method, the random forest, the genetic algorithm and the artificial neural network are combined through serial and parallel algorithms, meteorological conditions are comprehensively considered, and the accuracy of atmospheric pollution prediction is improved.