SciELO - Scientific Electronic Library Online

 
vol.65 issue2Technical feasibility of fabrication of cement agglomerated with granite waste and BOF steel slagScrubbing process of the Miltonia 3 Bauxite - Part 1: influence of operating variables on bauxite disintegration author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Rem: Revista Escola de Minas

Print version ISSN 0370-4467

Abstract

ROSA, Germano Mendes  and  LUZ, José Aurélio Medeiros da. Mix grinding simulation by artificial neural network. Rem: Rev. Esc. Minas [online]. 2012, vol.65, n.2, pp. 247-256. ISSN 0370-4467.  http://dx.doi.org/10.1590/S0370-44672012000200014.

This paper discusses the results of a mixed grinding simulator application based on an artificial neural network (multiple-layer perceptron using a back-propagation-like algorithm with moment). The data used came from a previous paper entitled "Selective grinding of dolomite and quartz mixes". The Shewhart control chart for individual values was used in order to verify the statistical stability of the simulation process results, which was useful for testing acceptance. The results have displayed good performance of this tool related to mix grinding simulation, a common issue in the mining and metallurgical sectors.

Keywords : Selective grinding; size distribution; artificial neural network; simulation; control chart.

        · abstract in Portuguese     · text in Portuguese     · Portuguese ( pdf epdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License