首页|Data on Machine Learning Published by Researchers at Soran University (Ozone con centration forecasting utilizing leveraging of regression machine learnings:A c ase study at Klang Valley,Malaysia)
Data on Machine Learning Published by Researchers at Soran University (Ozone con centration forecasting utilizing leveraging of regression machine learnings:A c ase study at Klang Valley,Malaysia)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report.According to news originating from Soran U niversity by NewsRx correspondents,research stated,"At Klang Valley,ground-le vel ozone is a significant source of air pollution." Our news editors obtained a quote from the research from Soran University:"Ozon e (O3) concentration is affected by meteorological conditions and air pollutants .Linear Regression Models (LRM),Regression Trees (RT),Support Vector Machines (SVM),Ensembles of Trees (ET),Gaussian Process Regression (GPR),and Neural N etworks (NN) are utilized in a thorough analysis to determine the accuracy of va rious machine learning in forecasting the ground level O3 concentration.The pri mary associated contributions from this research are comparisons of regression s tatistical model performance based on indicators of root mean squared error (RMS E),coefficient of determination (R2),mean squared error (MSE),mean absolute e rror (MAE),prediction speed,and training time of regression models.Overall,e xponential GPR outperformed other regression models in scenario 1 (S-1),scenari o 2 (S-2),scenario (S-3),and scenario 4 (S-4) by incorporating multiple number of lags into respective scenarios and new method of testing "re-substitution" p erformed more reliable and consistent than applying identical datasets to 20 % of model testing."
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