Risk assessment of failure of rock bolts in underground coal mines using support vector machines

DOI10.1002/asmb.2273zbMath1459.62223OpenAlexW2746326778MaRDI QIDQ4627128

Serkan Saydam, Peter S. Craig, Peng Jiang, Ismet Canbulat, Alan Crosky, Mojtaba Maghrebi

Publication date: 7 March 2019

Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asmb.2273

zbMATH Keywords

support vector machineunderground miningfeature learningstress corrosion crackingrock boltprediction of the risk of failure

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30)

Cites Work

• Support-vector networks
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