A Dual-Attention Recurrent Neural Network Method for Deep Cone Thickener Underflow Concentration Prediction

This paper focuses on the time series prediction problem for underflow concentration of deep cone thickener. It is commonly used in the industrial sedimentation process. In this paper, we introduce a dual attention neural network method to model both spatial and temporal features of the data collect...

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Detalles Bibliográficos
Autores principales: Yuan, Zhaolin, Hu, Jinlong, Wu, Di, Ban, Xiaojuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085511/
https://www.ncbi.nlm.nih.gov/pubmed/32110906
http://dx.doi.org/10.3390/s20051260

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085511/
https://www.ncbi.nlm.nih.gov/pubmed/32110906
http://dx.doi.org/10.3390/s20051260

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