Imputation of reactive silica and available alumina in bauxites by self-organizing maps (2017)
Carneiro, Cleyton de Carvalho 
; Silva Yanez, Dayana Niazabeth del Valle; Ulsen, Carina ; Fraser, Stephen James; Antoniassi, Juliana Lívi ; Paz, Simone Patrícia Aranha da; Angélica, Rômulo Simões ; Kahn, Henrique
Fonte: Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. Nome do evento: International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM). Unidade: EP
Assuntos: GEOQUÍMICA, BAUXITA, ALUMINA
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CARNEIRO, Cleyton de Carvalho et al. Imputation of reactive silica and available alumina in bauxites by self-organizing maps. 2017, Anais.. Nancy: IEEE, 2017. Disponível em: https://doi.org/10.1109/WSOM.2017.8020008. Acesso em: 08 set. 2024.APA
Carneiro, C. de C., Silva Yanez, D. N. del V., Ulsen, C., Fraser, S. J., Antoniassi, J. L., Paz, S. P. A. da, et al. (2017). Imputation of reactive silica and available alumina in bauxites by self-organizing maps. In Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. Nancy: IEEE. doi:10.1109/WSOM.2017.8020008NLM
Carneiro C de C, Silva Yanez DN del V, Ulsen C, Fraser SJ, Antoniassi JL, Paz SPA da, Angélica RS, Kahn H. Imputation of reactive silica and available alumina in bauxites by self-organizing maps [Internet]. Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. 2017 ;[citado 2024 set. 08 ] Available from: https://doi.org/10.1109/WSOM.2017.8020008Vancouver
Carneiro C de C, Silva Yanez DN del V, Ulsen C, Fraser SJ, Antoniassi JL, Paz SPA da, Angélica RS, Kahn H. Imputation of reactive silica and available alumina in bauxites by self-organizing maps [Internet]. Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. 2017 ;[citado 2024 set. 08 ] Available from: https://doi.org/10.1109/WSOM.2017.8020008
