… Thus, a support vector machine is proposed in this study to model the air pollution index.
There are three main parameters affecting the performance of the support vector …

… regarding air quality and to obtain accurate predictions in … evaluates a support vector
machine (SVM) to forecast ground… a C parameter of 10 5 and a gamma value of 0.1 for every air …

… study to explore the influence of various input parameters, especially the air pollution
parameters, on daily R d prediction. Three meteorological data-based models were first utilized for …

… Calculation Result of PM 10 by Using SVR Model … optimization algorithm and support vector
regression model are established by using the toolkit in Matlab. The two parameters C and g …

… In this paper, we develop a method for predicting ozone (O 3 ) concentration based on
kernel extreme learning machine (KELM) and support vector machine regression (SVR) and …

… based on predefined parameters of a … Support vector machines that are briefly explained
in this section of the paper followed by methodology made for estimating the air quality using …

… 95% accuracy [9] used Support Vector Regression and ensemble model to classify PM10 …
In addition, the dataset contains an air quality index (AQI) parameter, which is an indication …

… series problem for predicting the atmospheric pollutant factor … ability of the support vector
machine. Simulation experiments … are computed according to the input parameters [42]. The …

… machine learning models are employed to predict air quality. … accuracy while the Support
Vector Machine model exhibits … and compared through established performance parameters. …

… based on a support vector machine (SVM) using an index that indicates air quality as an
input … radiation models by using an air quality indicator as an additional input parameter. The …