Open AccessAir Quality Prediction Based on Quadratic Prediction Model
Author(s) -
Zijun Luo,
Rui Zeng,
Pan Wang
Publication year - 2022
Publication title -
xue xi yu jiao yu
Language(s) - English
Resource type - Journals
ISSN - 2251-2802
DOI - 10.18282/l-e.v10i5.2669
Subject(s) - predictive modelling , computer science , air quality index , genetic algorithm , limit (mathematics) , quadratic model , data mining , machine learning , artificial intelligence , mathematics , mathematical analysis , physics , response surface methodology , meteorology
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.