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Air Quality Prediction Based on Quadratic Prediction Model

Zijun Luo, Rui Zeng, Pan Wang

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.

Keywords


Secondary Prediction Model;Genetic Algorithm;Air Quality Forecast

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References


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DOI: http://dx.doi.org/10.18686/ahe.v6i9.4726

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