Abstract
In order to improve the performance of the prediction model of air quality prediction,a secondary prediction mathematical 
 model is established in this paper.The first is to clean the data and find the potential model relationship between variables through 
 data mining and correlation methods,so as to establish the limit learning machine model.The model needs to be able to explain 
 the influence of meteorological index variables on pollutant concentration diffusion to a certain extent.Then,the EML model is 
 optimized by genetic algorithm,rolling optimization and other methods to reduce noise and make the data as accurate as possible.
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