Support vector regression optimized by black widow optimization algorithm combining with feature selection by MARS for mining blast vibration prediction

•A novel hybrid MARS-BWOA-SVR model is proposed for blasting vibration prediction.•Feature selection is performed based on multivariate adaptive regression splines.•Using a black widow optimization algorithm for hyperparameter optimization.•The hybrid MARS-BWOA-SVR model outperforms other SVR models...

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Vydané v:	Measurement : journal of the International Measurement Confederation Ročník 218; s. 113106
Hlavní autori:	Xu, Guoquan, Wang, Xinyu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.08.2023
Predmet:	Blasting Ground vibration Hybrid model Machine learning MARS-BWOA-SVR MARS-BWOA-SVR Hybrid model Blasting Ground vibration Machine learning
ISSN:	0263-2241
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