A Conceptual Framework for Approaching Predictive Modeling Using Multivariate Regression Analysis Vs Artificial Neural Network
نویسنده
چکیده
The use of artificial neural networks is a promising approach for prediction of fine particles concentrations under variable meteorological conditions. This paper analyzes the statistical analysis of Multivariate Regression Analysis (MVRA) versus Artificial Neural Networks (ANN) and investigations were performed on real statistical data set obtained from measurements of the process parameters of recent six months data under industrial conditions. Most influential statistical parameters such as R, R-square, Adjusted R-square, MAE, RMSE are evaluated for choosing right modeling tool in this investigation.
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تاریخ انتشار 2015