Application of density-based clustering algorithm and capsule network to performance monitoring of antimony flotation process

•An antimony grade prediction model based on CapsNet is proposed for performance monitoring of the flotation process.•An improved DBSCAN algorithm is proposed to denoise the training data set.•The use of CapsNet can solve the problem of the small amount of training data. This paper presents an appli...

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Veröffentlicht in:	Minerals engineering Jg. 184; S. 107603
Hauptverfasser:	Cen, Lihui, Wu, Yuming, Hu, Jian, Xia, E, Xie, Yongfang, Tang, Zhaohui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 30.06.2022
Schlagworte:	Capsule network Deep learning Density-based clustering Flotation monitoring Samples denoising Deep learning Flotation monitoring Samples denoising Capsule network Density-based clustering
ISSN:	0892-6875, 1872-9444
Online-Zugang:	Volltext
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