Rule-based expert system to assess caving output ratio in top coal caving-Reference-Cited by-同舟云学术

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Rule-based expert system to assess caving output ratio in top coal caving

Published:2020-09-04 Issue:9 Volume:15 Page:e0238138
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Jiang HaiYan,Song Qinghui,Gao Kuidong,Song QingJun^ORCID,Zhao XieGuang

Funder

Key Technology Research and Development Program of Shandong

Shandong Province Key Laboratory of Mine Mechanical Engineering open fund

SDUST Research Fund

University Planning Projects of Science and Technology of Shandong Province under Grants

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference34 articles.

1. Radiation characteristics of natural gamma-ray from coal and gangue for recognition in top coal caving;N Zhang;Scientific Reports,2018

2. Vibration test of single coal gangue particle directly impacting the metal plate and the study of coal gangue recognition based on vibration signal and stacking integration;Y Yang;IEEE Access,2019

3. Liu W. Coal rock interface recognition based on independent component analysis and BP neural network. In: 3rd International Conference on Computer Science and Information Technology. 2010; 5:556–558.

4. Coal-rock recognition in top coal caving using bimodal deep learning and Hilbert- Huang transform;GX Zhang;Shock and Vibration,2017

5. An automatic decision approach to coal-rock recognition in top coal caving based on MF-Score;QJ Song;Pattern Analysis & Applications,2017

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automatic mud diapir detection using ANFIS expert systems algorithm; a case study in the Gorgan plain, Iran;Environmental Earth Sciences;2024-06-23

2. Application of an Automated Top Coal Caving Control System: The Case of Wangjialing Coal Mine;Sustainability;2024-05-18

3. Optimization of the Process Parameters of Fully Mechanized Top-Coal Caving in Thick-Seam Coal Using BP Neural Networks;Sustainability;2022-01-25

4. Law of coal caving behind the flexible shield support in pseudo-inclined working face;PLOS ONE;2021-12-30

5. Application of improved and optimized fuzzy neural network in classification evaluation of top coal cavability;Scientific Reports;2021-09-28

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