Evaluation of Goaf Stability Based on Transfer Learning Theory of Artificial Intelligence-Reference-Cited by-同舟云学术

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Evaluation of Goaf Stability Based on Transfer Learning Theory of Artificial Intelligence

Published:2019 Issue: Volume:7 Page:96912-96925
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Qin Yaguang^ORCID,Luo Zhouquan,Wang Jie,Ma Shaowei^ORCID,Feng Chundi^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08765726.pdf?arnumber=8765726

Cited by 10 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. Stability evaluation of goaf in closed mining area: a case study of Sanhejian closed mining area in Jiangsu Province, China;2024-05-31

2. Goaf risk prediction based on IAOA–SVM and numerical simulation: A case study;Underground Space;2024-04

3. Stability Evaluation of the Goaf Based on Combination Weighting and Cloud Model;Advances in Civil Engineering;2024-02-29

4. Evaluation Model on Activation Classification of Coal Mine Goaf Ground Considering High-Speed Railway Loads;Applied Sciences;2024-02-08

5. Comparative study of multiple machine learning algorithms for risk level prediction in goaf;Heliyon;2023-08

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