Outburst prediction and influencing factors analysis based on Boruta-Apriori and BO-SVM algorithms

The influencing factors of coal and gas outburst are complex, and now the accuracy and efficiency of outburst prediction are not high. In order to obtain the effective features from influencing factors and realize the accurate and fast dynamic prediction of coal and gas outburst, this article propos...

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Veröffentlicht in:	Journal of intelligent & fuzzy systems 2021-01, Vol.41 (2), p.3201-3218
Hauptverfasser:	Zixian, Zhang, Xuning, Liu, Zhixiang, Li, Hongqiang, Hu
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Classification Coal Coal gas outbursts Coupling Feature selection Optimization Pattern recognition Prediction models Redundancy Support vector machines
Online-Zugang:	Volltext
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