Statistical modeling of copper losses in the silicate slag of the sulfide concentrate smelting process

6Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.

Abstract

This article presents the results of the statistical modeling of copper losses in the silicate slag of the sulfide concentrates smelting process. The aim of this study was to define the correlation dependence of the degree of copper losses in the silicate slag on the following parameters of technological processes: SiO2, FeO, Fe3O4, CaO and Al2O3 content in the slag and copper content in the matte. Multiple linear regression analysis (MLRA), artificial neural networks (ANNs) and adaptive network based fuzzy inference system (ANFIS) were used as tools for mathematical analysis of the indicated problem. The best correlation coefficient (R2 = 0.719) of the final model was obtained using the ANFIS modeling approach.

Cite

CITATION STYLE

APA

Savic, M. V., Djordjevic, P. B., Mihajlovic, I. N., & Zivkovic, Z. D. (2015). Statistical modeling of copper losses in the silicate slag of the sulfide concentrate smelting process. Polish Journal of Chemical Technology, 17(3), 62–69. https://doi.org/10.1515/pjct-2015-0051

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free