Detection of coal content in gangue via image analysis and particle swarm optimization–support vector machine-Reference-Cited by-同舟云学术

Detection of coal content in gangue via image analysis and particle swarm optimization–support vector machine

Published:2021-05-27 Issue: Volume: Page:1-10
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:

Wang Bingjun¹²,Huang Haoxiang¹²,Dou Dongyang¹²³⁴,Qiu Zhaoyu¹²

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. Beijing Key Laboratory of Process Automation in Mining & Metallurgy, BGRIMM Technology Group, Beijing, P R China

4. State Key Laboratory of Process Automation in Mining & Metallurgy, BGRIMM Technology Group, Beijing, P R China

Funder

Xuzhou Science and Technology Program

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/10.1080/19392699.2021.1932842

Reference20 articles.

1. Online Analysis of Coal on A Conveyor Belt by use of Machine Vision and Kernel Methods

2. Application of numerical image analysis to process diagnosis and physical parameter measurement in mineral processes—Part I: Flotation control based on froth textural characteristics

3. A new partition curve model of dense-medium cyclone based on process parameters

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

5. Particle size-included partition curve model of dense medium cyclones

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