Coal Classification Method Based on Improved Local Receptive Field-Based Extreme Learning Machine Algorithm and Visible–Infrared Spectroscopy-Reference-Cited by-同舟云学术

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Coal Classification Method Based on Improved Local Receptive Field-Based Extreme Learning Machine Algorithm and Visible–Infrared Spectroscopy

Published:2020-10-02 Issue:40 Volume:5 Page:25772-25783
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Xiao Dong¹²^ORCID,Li Hongzong¹,Sun Xiaoyu³

Affiliation:

1. College of Information Science and Engineering, Northeastern University, Shenyang 110819, China

2. Liaoning Key Laboratory of Intelligent Diagnosis and Safety for Metallurgical Industry, Northeastern University, Shenyang 110819, China

3. College of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China

Funder

National Natural Science Foundation of China

National Training Program of Innovation and Entrepreneurship for Undergraduates

Fundamental Research Funds for the Central Universities, China

Fundamental Research Funds for Liaoning Natural Science Foundation, China

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.acs.org/doi/pdf/10.1021/acsomega.0c03069

Reference32 articles.

1. Basic principles of coal classification by useful quality

2. Xiao, D.; Li, H.; Jiang, G. Wuhan, Hubei, China; 2019; p 4.

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