Subjects: MINERALOGIA, CARACTERIZAÇÃO TECNOLÓGICA DE MINÉRIOS, OURO, REDES NEURAIS
ABNT
COSTA, Fabrizzio Rodrigues e CARNEIRO, Cleyton de Carvalho e ULSEN, Carina. Self-organizing maps analysis of chemical-mineralogical gold ore characterization in support of geometallurgy. Mining, v. 3, n. 2, p. 230-240, 2023Tradução . . Disponível em: https://doi.org/10.3390/mining3020014. Acesso em: 04 set. 2024.APA
Costa, F. R., Carneiro, C. de C., & Ulsen, C. (2023). Self-organizing maps analysis of chemical-mineralogical gold ore characterization in support of geometallurgy. Mining, 3( 2), 230-240. doi:10.3390/mining3020014NLM
Costa FR, Carneiro C de C, Ulsen C. Self-organizing maps analysis of chemical-mineralogical gold ore characterization in support of geometallurgy [Internet]. Mining. 2023 ; 3( 2): 230-240.[citado 2024 set. 04 ] Available from: https://doi.org/10.3390/mining3020014Vancouver
Costa FR, Carneiro C de C, Ulsen C. Self-organizing maps analysis of chemical-mineralogical gold ore characterization in support of geometallurgy [Internet]. Mining. 2023 ; 3( 2): 230-240.[citado 2024 set. 04 ] Available from: https://doi.org/10.3390/mining3020014