ARTIFICIAL NEURAL NETWORK METHOD APPLIED ON THE NONLINEAR MULTIVARIATE PROBLEMS

被引：0
|
作者：
Zivkovic, Zivan [1 ]
Mihajlovic, Ivan [1 ]
Nikolic, Dorde [1 ]
机构：
[1] Univ Belgrade, Tech Fac Bor, Dept Management, Vojske Jugoslavije 12, Bor 19210, Serbia
来源：
SERBIAN JOURNAL OF MANAGEMENT | 2009年 / 4卷 / 02期
关键词：
multiple linear regression; artificial neural networks; copper content in the slag;
D O I：
暂无
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
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 R-2 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.
引用
收藏
页码：142 / 155
页数：13
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