Grade prediction of zinc tailings using an encoder-decoder model in froth flotation

•An encoder-decoder-based network predicts the zinc tailings grade in advance.•The feature time series of the first rougher is extracted automatically.•The proposed grade prediction model considers previously measured grades.•The dynamic consistency between the input and output time series is utiliz...

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Veröffentlicht in:	Minerals engineering Jg. 172; S. 107173
Hauptverfasser:	Zhang, Hu, Tang, Zhaohui, Xie, Yongfang, Luo, Jin, Chen, Qing, Gui, Weihua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.10.2021
Schlagworte:	Encoder-decoder model Froth video Grade prediction Machine vision Recurrent neural network Time series Encoder-decoder model Machine vision Recurrent neural network Grade prediction Froth video Time series
ISSN:	0892-6875, 1872-9444
Online-Zugang:	Volltext
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