Using the Hybrid MLR-RNN Approach for Air Pollution Forecasting

Abstract

Air Quality Modeling gained great in atmospheric pollution its environment and human health. In our study, the relationship between (Particulate Matter PM 10 ) and other nine variables over three years is studied to applied the multiple linear regression models (MLR). The MLR model is the most common for studying like this multivariate case. The main problem for this type of data is the non linear style that has been referred by many researchers before. The recurrent neural network (RNN) is nonlinear