An HGA-LSTM-Based Intelligent Model for Ore Pulp Density in the Hydrometallurgical Process

This study focused on the intelligent model for ore pulp density in the hydrometallurgical process. However, owing to the limitations of existing instruments and devices, the feed ore pulp density of thickener, a key hydrometallurgical equipment, cannot be accurately measured online. Therefore, aimi...

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Detalles Bibliográficos
Autores principales: Zou, Guobin, Zhou, Junwu, Li, Kang, Zhao, Hongliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655047/
https://www.ncbi.nlm.nih.gov/pubmed/36363175
http://dx.doi.org/10.3390/ma15217586

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655047/
https://www.ncbi.nlm.nih.gov/pubmed/36363175
http://dx.doi.org/10.3390/ma15217586

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