Strength of ensemble learning in multiclass classification of rockburst intensity

Summary Rockbust is a violent expulsion of rock due to the extreme release of strain energy stored in surrounding rock mass, leading to considerable damages to underground strucures and equipment, and threatening workers' safety. As the operational depth of engineering projects increases, a lar...

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Veröffentlicht in:	International journal for numerical and analytical methods in geomechanics 2020-09, Vol.44 (13), p.1833-1853
Hauptverfasser:	Zhang, Junfei, Wang, Yuhang, Sun, Yuantian, Li, Guichen
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Antennae Back propagation networks Bayesian analysis beetle antennae search Classification classifier ensemble Classifiers Decision trees Engineering Ensemble learning Expulsion Learning algorithms Machine learning Missing data missing data imputation Model accuracy Neural networks Occupational safety Rock masses rockburst prediction Rockbursts Rocks Search algorithms Support vector machines
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