2021
DOI: 10.1007/978-981-16-3342-3_6
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Models Predicting PM 2.5 Concentrations—A Review

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“…The research conducted by to predict PM2.5 pollutant using a hybrid approach of least square support vector machine and optimization algorithms showed that the use of hybrid techniques increases the accuracy of the results (Yang et al, 2022). A group researchers carried out research to review the most widely used methods in spatial prediction of PM2.5 (Anchan et al, 2022). The outcomes of this research were classified into two categories: machine learning and statistical methods.…”
Section: Introductionmentioning
confidence: 99%
“…The research conducted by to predict PM2.5 pollutant using a hybrid approach of least square support vector machine and optimization algorithms showed that the use of hybrid techniques increases the accuracy of the results (Yang et al, 2022). A group researchers carried out research to review the most widely used methods in spatial prediction of PM2.5 (Anchan et al, 2022). The outcomes of this research were classified into two categories: machine learning and statistical methods.…”
Section: Introductionmentioning
confidence: 99%