Title

A study on the influence of particle size on the identification accuracy of coal and gangue

Journal title

Gospodarka Surowcami Mineralnymi - Mineral Resources Management

Yearbook

2023

Volume

vol. 39

Issue

No 1

Affiliation

Li, Xin : School of Mechanical Engineering, Anhui University of Science and Technology, Huainan, China ; Li, Xin : State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan, China ; Wang, Shuang : School of Mechanical Engineering, Anhui University of Science and Technology, Huainan, China ; Wang, Shuang : State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan, China ; He, Lei : School of Mechanical Engineering, Anhui University of Science and Technology, Huainan, China ; He, Lei : State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan, China ; Luo, Qisheng : School of Mechanical Engineering, Anhui University of Science and Technology, Huainan, China ; Luo, Qisheng : State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan, China

Authors

Li, Xin ; Wang, Shuang ; He, Lei ; Luo, Qisheng

Keywords

particle size ; gray feature ; texture feature ; support vector machine ; coal and gangue identification

Divisions of PAS

Nauki Techniczne

Coverage

109-129

Publisher

Komitet Zrównoważonej Gospodarki Surowcami Mineralnymi PAN ; Instytut Gospodarki Surowcami Mineralnymi i Energią PAN

Date

2023.03.27

Type

Article

Identifier

DOI: 10.24425/gsm.2023.144634