文章基本信息

标题：Artificial Neural Networks Applied on the Nonlinear Multivariate Problems
本地全文：下载
作者：Živan Živković ; Ivan Mihajlović ; Đorđe Nikolić 等
期刊名称：Serbian Journal of Management
印刷版ISSN：1452-4864
出版年度：2009
卷号：4
期号：2
页码：143-155
出版社：University in Belgrade
摘要：This paper presents the research of the possibility to apply Artificial Neural Network (ANN) for solving nonlinear multivariate problems of the technological processes. After concurrent analysis facilitated using multivariate regression analysis (MRA) and ANN, on the same set of data, aiming to determinate the copper content in the waste slag depending on its chemical composition, following values of R2 were obtained: 0.09 and 0.999. These results indicate that the ANN is more appropriate for solving the nonlinear problem, of this technological process at the industrial level, described in this paper.
关键词：multiple linear regression; artificial neural networks; copper content in the slag