WEAR RATE PREDICTION OF GRINDING MEDIA USING BPNN AND MLR MODELS IN GRINDING OF SULPHIDE ORES

Nowadays steel balls wear is a major problem in mineral processing industries and forms a significant part of the grinding cost. Different factors are effective on balls wear. It is needed to find models which are capable to estimate wear rate from these factors. In this paper a back propagation neu...

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Bibliographic Details
Main Authors: A. Azizi, S.Z. Shafaei, R. Rooki
Format: Article
Language:English
Published: Iran University of Science & Technology 2016-06-01
Series:Iranian Journal of Materials Science and Engineering
Subjects:
Online Access:http://ijmse.iust.ac.ir/browse.php?a_code=A-10-687-2&slc_lang=en&sid=1