Research on the assessment for air environment quality based on Support Vector Machine

Abstract

According to the theory of SVM, the models for the assessment of air environment quality were built and analyzed based on support vector classification and support vector regression. The conclusions are that the SVM is an easy and accurate method for the assessment of air environment quality and the model for the assessment of air environment quality is more accurate based on support vector classification. The models were used to assess the air environment quality of 11 cities of Hebei province in China and this article was also an empirical application example using SVM in the assessment of air environment quality.