A new froth image classification method based on the MRMR-SSGMM hybrid model for recognition of reagent dosage condition in the coal flotation process.

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作者： Wenyan,Cao ^[1] ; Ranfeng,Wang ^[1] ; Minqiang,Fan ^[2] ; Xiang,Fu ^[3] ; Haoran,Wang ^[1] ; Yulong,Wang ^[4]

作者单位： College of Mining Engineering, Taiyuan University of Technology, Taiyuan, 030024 China. ^[1] Information Professional Committee of the Coal Industry Committee of Technology, Beijing, 100013 China. ^[2] Shanxi Information Technology Association, Taiyuan, 030032 China. ^[3] Shanxi Institute of Coal Processing and Utilization, Taiyuan, 030053 China. ^[4] Shanxi Engineering Research Center for Coal Mine Intelligent Equipment, Taiyuan University of Technology, Taiyuan, 030024 China. ^[5]

关键词 Coal flotation Froth image classification Image feature extraction and selection Machine learning Reagent dosage condition Semi-supervised Gaussian mixture model

DOI 10.1007/s10489-021-02328-z

PMID 34764598

发布时间 2022-06-28

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Applied intelligence (Dordrecht, Netherlands)

2022年52卷1期

732-752页

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A new froth image classification method based on the MRMR-SSGMM hybrid model for recognition of reagent dosage condition in the coal flotation process.

Applied intelligence (Dordrecht, Netherlands)

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Applied intelligence (Dordrecht, Netherlands)

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A new froth image classification method based on the MRMR-SSGMM hybrid model for recognition of reagent dosage condition in the coal flotation process.

Applied intelligence (Dordrecht, Netherlands)

相似文献

Applied intelligence (Dordrecht, Netherlands)

相关期刊

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