On the variability of technological indicators in the extraction of precious metals
in the conditions of significant variability of processed polymetallic ores of the Akbastau Deposit, it is essential to minimize the variability of technological indicators of enrichment. Due to the multifactorial nature and non-linearity of the flotation process, the use of classical regression mod...
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EDP Sciences
2021-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/42/e3sconf_ti2021_02003.pdf |
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doaj-e109a48bf4b04f31a123760049a0ba0b2021-06-11T07:18:50ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012660200310.1051/e3sconf/202126602003e3sconf_ti2021_02003On the variability of technological indicators in the extraction of precious metalsUshakov E. K.Alexandrova T. N.in the conditions of significant variability of processed polymetallic ores of the Akbastau Deposit, it is essential to minimize the variability of technological indicators of enrichment. Due to the multifactorial nature and non-linearity of the flotation process, the use of classical regression models does not provide the necessary level of reliability, therefore, there is a significant variability in the extraction of precious metals. To solve this problem, the paper substantiates the use of the neural network modeling methodology, which allows to estimate the variability of gold and silver extraction depending on the variation of the content of metals in the ore.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/42/e3sconf_ti2021_02003.pdf |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Ushakov E. K. Alexandrova T. N. |
| spellingShingle |
Ushakov E. K. Alexandrova T. N. On the variability of technological indicators in the extraction of precious metals E3S Web of Conferences |
| author_facet |
Ushakov E. K. Alexandrova T. N. |
| author_sort |
Ushakov E. K. |
| title |
On the variability of technological indicators in the extraction of precious metals |
| title_short |
On the variability of technological indicators in the extraction of precious metals |
| title_full |
On the variability of technological indicators in the extraction of precious metals |
| title_fullStr |
On the variability of technological indicators in the extraction of precious metals |
| title_full_unstemmed |
On the variability of technological indicators in the extraction of precious metals |
| title_sort |
on the variability of technological indicators in the extraction of precious metals |
| publisher |
EDP Sciences |
| series |
E3S Web of Conferences |
| issn |
2267-1242 |
| publishDate |
2021-01-01 |
| description |
in the conditions of significant variability of processed polymetallic ores of the Akbastau Deposit, it is essential to minimize the variability of technological indicators of enrichment. Due to the multifactorial nature and non-linearity of the flotation process, the use of classical regression models does not provide the necessary level of reliability, therefore, there is a significant variability in the extraction of precious metals. To solve this problem, the paper substantiates the use of the neural network modeling methodology, which allows to estimate the variability of gold and silver extraction depending on the variation of the content of metals in the ore. |
| url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/42/e3sconf_ti2021_02003.pdf |
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AT ushakovek onthevariabilityoftechnologicalindicatorsintheextractionofpreciousmetals AT alexandrovatn onthevariabilityoftechnologicalindicatorsintheextractionofpreciousmetals |
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