Study on Risk Classification of Goaf Based on RS-SVM

Haiping Yuan; Biaohua Le; Yubo Wang; Chenghao Chen; Hanbing Bian

doi:10.1051/matecconf/201929502001

All issues

Volume 295 (2019)

MATEC Web Conf., 295 (2019) 02001

References

Open Access

Issue		MATEC Web Conf. Volume 295, 2019 Smart Underground Space and Infrastructures – Lille 2019


Article Number		02001
Number of page(s)		5
Section		Resilient Infrastructures
DOI		https://doi.org/10.1051/matecconf/201929502001
Published online		18 October 2019

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[1] H. T. Ma, N. W. Liu, Y. H. Wang, et al. Review on research status of controlling techniques for goaf disaster in metal mille[J]. Journal of Safety Science and Technology, 2014, 10(10):75-80 [Google Scholar]

[2] F. Q. Gong, X. B. Li, L. J. Dong, et al. Underground goaf risk evaluation based on uncertainty measurement theory[J]. Chinese Journal of Rock Mechanics and Engineering, 2008, 27(2):323-330 [Google Scholar]

[3] Q. M. Wang, B. G. Xu, S. H. Tang, et al. The actual state of mined-out areas in metallic and normetallic mines and the countermeasures for the treament of the mined-out areas in China[J]. MINING R&D, 2009, 29(4):63-68 [Google Scholar]

[4] Z. Q. Chen, Y. M. Wang, S. M. Chen, et al. Stability analysis of goaf based on entropy weight method and fuzzy theory[J].MINING R&D, 2019, 39(5):39-43 [Google Scholar]

[5] X. D. Xu, Y. J. Zhou, S. Pang. Analysis of catastrophic instability of plastic supporting system in old goaf of gypsum mine[J]. Chinese Journal of Rock Mechanics and Engineering, 2018, 37(11):2548-2555 [Google Scholar]

[6] Y. P. Zhang, P. Cao, H. P. Yuan, et al. Numerical simulation on stability of complicated goaf[J]. Journal of Mining & Safety Engineering, 2010, 27(2):233-238 [Google Scholar]

[7] G. J. Hu, T. H. Yang, Z. Q. Hu, et al. Mathews-stability-method-based multi-angle analysis and evaluation of mined-out zones stability[J]. Journal of Mining & Safety Engineering, 2017, 34(2):348-354 [Google Scholar]

[8] Y. J. Li, W. Q. Lin, Y. Chen. Evaluation on risk of goaf based on AGA-BP neural network[J]. Journal of Safety Science and Technology, 2015, 11(7):135-141 [Google Scholar]

[9] C. Xiao, H. C. Zheng, W. Z. Wu, et al. Stability evaluation of goaf in gypsum mine based on the set pair analysis[J].CHINA MINING MAGAZINE, 2014, 23(10):107-114 [Google Scholar]

[10] W. Wang, Z. Q. Luo, L. X. Xiong, et al. Stability evaluation of goaf based on improved matter element extension model[J]. Journal of Salety and Environment, 2015, 15(1):21-25 [Google Scholar]

[11] Z. Pawlak. Rough sets[J]. International Journal of Information and Computer Science, 1982, 11(5):341-356 [Google Scholar]

[12] S. Z. Wu, P. Z. Yan. Attribute reduction algorithm on rough set information entropy and its application[J].Computer Engineering, 2011, 37(7):56-61 [Google Scholar]

[13] S. F. Ding, B. J. Qi, H. Y. Tan. An overview on theory and algorithm of support vector machines[J]. Journal of University of Electronic Science and Technology of China, 2011, 40(1):2-10 [Google Scholar]

[14] L. X. Li, G. W. Wang. Sensitivity analysis of impact factors of goaf group stability and its application[J].MFTAI MINE, 2018, 2018(2):27-34 [Google Scholar]

[15] Y. Feng, X. M. Wang, A. B. Cheng, et al. Method optimization of underground goaf risk evaluation[J]. Journal of Central South University(Science and Technology), 2013, 44(7):2882-2888 [Google Scholar]

[16] H. Song, Y. Xue, L. G. Zhang. Research on kernel function selection simlllation based on SVM classification[J]. JISUANJI YU XIANDAIHUA, 2011, 2011(8):133-136 [Google Scholar]

[17] Y. G. Liu, Z. H. You, L. P. Cao. A novel and quick SVM-based multiclass classifier[J]. Pattern Recognition, 2006, 39(11):2258-2264 [CrossRef] [Google Scholar]