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Prediction of multi-stage froth flotation efficiency of com..:
Jo, Kwanghui
;
Je, Jinyoung
;
Lee, Donwoo
...
Minerals Engineering. 210 (2024) - p. 108669 , 2024
Link:
https://doi.org/10.1016/j.mineng.2024.108669
RT Journal T1
Prediction of multi-stage froth flotation efficiency of complex lead–zinc sulfide ore using an integrated ensemble neural network–random forest model
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.mineng.2024.108669&Exemplar=1&LAN=DE A1 Jo, Kwanghui A1 Je, Jinyoung A1 Lee, Donwoo A1 Cho, Heechan A1 Kim, Kwanho A1 You, Kwangsuk PB Elsevier BV YR 2024 SN 0892-6875 JF Minerals Engineering VO 210 SP 108669 LK http://dx.doi.org/https://doi.org/10.1016/j.mineng.2024.108669 DO https://doi.org/10.1016/j.mineng.2024.108669 SF ELIB - SuUB Bremen
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