Integration of ANFIS model and forward selection method for air quality forecasting
A Ghasemi, J Amanollahi - Air Quality, Atmosphere & Health, 2019 - Springer
In the last decade, air pollution in the city of Kermanshah has become a major concern. In
this study, adaptive neuro-fuzzy inference system (ANFIS) was developed to predict five
daily air pollutants in the atmosphere of Kermanshah city on the same day and 1 day in
advance from 2014 to 2016. The selected pollutants were the particulate matter PM 10,
sulfur dioxide (SO 2), nitrogen dioxide (NO 2), carbon monoxide (CO), and ozone (O 3). The
temperature, relative humidity, dew point, wind speed, precipitation, pressure, visibility, and …
this study, adaptive neuro-fuzzy inference system (ANFIS) was developed to predict five
daily air pollutants in the atmosphere of Kermanshah city on the same day and 1 day in
advance from 2014 to 2016. The selected pollutants were the particulate matter PM 10,
sulfur dioxide (SO 2), nitrogen dioxide (NO 2), carbon monoxide (CO), and ozone (O 3). The
temperature, relative humidity, dew point, wind speed, precipitation, pressure, visibility, and …
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