Gas outburst prediction model using rough set and support vector machine

Author:

Haibo Liu,Yujie Dong,Fuzhong Wang

Funder

Key Project of Science and Technology of Education Department of Henan Province

Key Laboratory of Control Engineering of Henan Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)

Reference29 articles.

1. Liyi Z, Wensheng Lv, Peng Y et al (2018) Statistical analysis and occurrence laws of coal mine accidents of China from 2007 to 2016[J]. Saf Coal Mines 49(7):237–240

2. Gao Si, Zhao Jiannan Hu, Qianting. (2018) Analysis of causes of coal and gas outburst accidents based on big data theory [J]. J Xi'an Univ Sci Technol 38(04):515–522

3. Fang Qu, Long Z (2012) Development of coal and gas outburst prediction system based on BP neural network [J]. China Saf Sci J 22(1):11–15

4. Sarivougioukas J, Vagelatos A (2020) Modeling deep learning neural networks with denotational mathematics in UbiHealth environment. Int J Softw Sci Comput Intell 12(3):14–20

5. Liangshan S (2009) Disaster prediction of coal mine gas based on rough set theory [J]. J China Coal Soc 34(3):371–375

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