Tytuł artykułu

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

Tytuł czasopisma

Gospodarka Surowcami Mineralnymi - Mineral Resources Management

Rocznik

2023

Wolumin

vol. 39

Numer

No 1

Afiliacje

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

Autorzy

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

Słowa kluczowe

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

Wydział PAN

Nauki Techniczne

Zakres

109-129

Wydawca

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

Data

2023.03.27

Typ

Article

Identyfikator

DOI: 10.24425/gsm.2023.144634 ; ISSN 0860-0953