首页|Findings in Machine Learning Reported from Kumoh National Institute of Technolog y (Evaluation of Machine Learning Application on the Prediction of Particulate M atter Concentrations in Small/Medium-Sized City)
Findings in Machine Learning Reported from Kumoh National Institute of Technolog y (Evaluation of Machine Learning Application on the Prediction of Particulate M atter Concentrations in Small/Medium-Sized City)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators discuss new findings in artificial intelligence. According to news originating fromthe Kumoh National Institute of Technology by NewsRx correspondents, research stated, “In this study,Machine L earning (ML) algorithms were evaluated to predict the concentration of particula te matter(PM10 and PM2.5) using air quality and meteorological data in small/me dium-sized city. ML models,including Multiple Linear Regression (MLR), Decision Tree Regression (DTR), Random Forest (RF), ExtremeGradient Boosting (XGB), Lig ht Gradient Boosting Machine (LGB), were used to predict PM10and PM2.5 concentr ations.”
Kumoh National Institute of TechnologyAlgorithmsCyborgsEmerging TechnologiesMachine Learning
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