Soft Sensors in the Primary Aluminum Production Process Based on Neural Networks Using Clustering Methods

Primary aluminum production is an uninterrupted and complex process that must operate in a closed loop, hindering possibilities for experiments to improve production. In this sense, it is important to have ways to simulate this process computationally without acting directly on the plant, since such...

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Detalles Bibliográficos
Autores principales: de Souza, Alan Marcel Fernandes, Soares, Fábio Mendes, de Castro, Marcos Antonio Gomes, Nagem, Nilton Freixo, Bitencourt, Afonso Henrique de Jesus, Affonso, Carolina de Mattos, de Oliveira, Roberto Célio Limão
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929109/
https://www.ncbi.nlm.nih.gov/pubmed/31795370
http://dx.doi.org/10.3390/s19235255

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929109/
https://www.ncbi.nlm.nih.gov/pubmed/31795370
http://dx.doi.org/10.3390/s19235255

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