Prediction of Rock Burst Hazard Level Based on Improved Whale Optimization Algorithm-Least Square Support Vector Machine (IWOA-LSSVM)

To improve the accuracy of rock burst level prediction and overcome the difficulty in determining the parameters of traditional prediction models, this paper proposed a prediction model of rock burst hazard level based on the Least Square Support Vector Machine (LSSVM) optimized by an Improved Whale...

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Vydané v:	2022 2nd International Conference on Electrical Engineering and Mechatronics Technology (ICEEMT) s. 446 - 455
Hlavní autori:	Xu, Yaosong, Ren, Rixin, Wang, Shuyue, Wang, Zhizhong
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.07.2022
Predmet:	Data models Hazards Improved Whale Optimization Algorithm (IWOA) Kernel Kernel Principal Components Analysis (KPCA) Least Square Support Vector Machine (LSSVM) Prediction algorithms Predictive models Rock burst prediction Rocks Safety engineering Support vector machines
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