期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2015
卷号：77
期号：2
出版社：Journal of Theoretical and Applied
摘要：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.
