Microseismicity-based short-term rockburst prediction using non-linear support vector machine

Author:

Jin Aibing,Basnet Prabhat Man Singh,Mahtab Shakil

Publisher

Springer Science and Business Media LLC

Subject

Geophysics

Reference45 articles.

1. Baltz R, Hucke A (2008) Rockburst prevention in the german coal industry. Paper presented at: 27th, International Conference on Ground Control in Mining; 2008; Morgantown, W VA. Dept. of Mining Engineering, College of Engineering and Mineral Resources, West Virginia University

2. Boser B, Guyon I, Vapnik V (1996) A training algorithm for optimal margin classifier. Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory. 5

3. Brauner GJcp (1994) Rockbursts in coal mines and their prevention

4. Cai M (2013) Principles of rock support in burst– prone ground. Tunn Undergr Space Technol 36:46–56

5. Chen B– R, Feng X– T, Li Q– P, Luo R– Z, Li S (2015) Rock burst intensity classification based on the radiated energy with damage intensity at jinping ii hydropower station, china. Rock Mech Rock Eng 48(1):289–303

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