Niquini, F.G.F.; Branches, A.M.B.; Costa, J.F.C.L.; Moreira, G.d.C.; Schneider, C.L.; Araújo, F.C.d.; Capponi, L.N.
Recursive Feature Elimination and Neural Networks Applied to the Forecast of Mass and Metallurgical Recoveries in A Brazilian Phosphate Mine. Minerals 2023, 13, 748.
https://doi.org/10.3390/min13060748
AMA Style
Niquini FGF, Branches AMB, Costa JFCL, Moreira GdC, Schneider CL, Araújo FCd, Capponi LN.
Recursive Feature Elimination and Neural Networks Applied to the Forecast of Mass and Metallurgical Recoveries in A Brazilian Phosphate Mine. Minerals. 2023; 13(6):748.
https://doi.org/10.3390/min13060748
Chicago/Turabian Style
Niquini, Fernanda Gontijo Fernandes, André Miranda Brito Branches, João Felipe Coimbra Leite Costa, Gabriel de Castro Moreira, Claudio Luiz Schneider, Florence Cristiane de Araújo, and Luciano Nunes Capponi.
2023. "Recursive Feature Elimination and Neural Networks Applied to the Forecast of Mass and Metallurgical Recoveries in A Brazilian Phosphate Mine" Minerals 13, no. 6: 748.
https://doi.org/10.3390/min13060748
APA Style
Niquini, F. G. F., Branches, A. M. B., Costa, J. F. C. L., Moreira, G. d. C., Schneider, C. L., Araújo, F. C. d., & Capponi, L. N.
(2023). Recursive Feature Elimination and Neural Networks Applied to the Forecast of Mass and Metallurgical Recoveries in A Brazilian Phosphate Mine. Minerals, 13(6), 748.
https://doi.org/10.3390/min13060748
