Long-term prediction of rockburst hazard in deep underground openings using three robust data mining techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,General Engineering,Modeling and Simulation,Software
Link
http://link.springer.com/content/pdf/10.1007/s00366-018-0624-4.pdf
Reference68 articles.
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3. Li N, Feng X, Jimenez R (2017) Predicting rock burst hazard with incomplete data using Bayesian networks. Tunn Undergr Sp Technol 61:61–70. https://doi.org/10.1016/j.tust.2016.09.010
4. Weng L, Li X, Taheri A et al (2018) Fracture evolution around a cavity in brittle rock under uniaxial compression and coupled static–dynamic loads. Rock Mech Rock Eng 51(2):531–545. https://doi.org/10.1007/s00603-017-1343-7
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