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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| 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 |