Measurement of coal-carrying rate in gangue based on three-dimensional image features and gray wolf optimization-support vector machine-Reference-Cited by-同舟云学术

Measurement of coal-carrying rate in gangue based on three-dimensional image features and gray wolf optimization-support vector machine

Published:2023-03-15 Issue:3 Volume:44 Page:275-290
ISSN:1939-2699
Container-title:International Journal of Coal Preparation and Utilization
language:en
Short-container-title:International Journal of Coal Preparation and Utilization

Author:

Zhang Chunlong¹²,Dou Dongyang¹²,Li Xuezhen³

Affiliation:

1. Key Laboratory of Coal Processing and Efficient Utilization of Ministry of Education, China University of Mining and Technology, Xuzhou, P R China

2. School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou, P R China

3. Coal Preparation Center, Ningxia Coal Industry Co, Ltd, Yinchuan, P R China

Funder

Science and Technology Innovation Project of Ningxia Coal Industry Co., Ltd

Assistance Program for Future Outstanding Talents of China University of Mining and Technology

Postgraduate Research & Practice Innovation Program of Jiangsu Province

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology,General Chemical Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/19392699.2023.2190097

Reference22 articles.

1. The Nature Of Statistical Learning Theory~

2. Classification of coal and gangue under multiple surface conditions via machine vision and relief-SVM

3. Coal and gangue recognition under four operating conditions by using image analysis and Relief-SVM

4. Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information

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