A Method for Evaluating the Data Integrity of Microseismic Monitoring Systems in Mines Based on a Gradient Boosting Algorithm

Microseismic data are widely employed for assessing rockburst risks; however, significant disparities exist in the monitoring capabilities of seismic networks across different mines, and none can capture a complete dataset of microseismic events. Such differences introduce unfairness when applying t...

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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Mathematics
المؤلفون الرئيسيون:	Cong Wang, Kai Zhan, Xigui Zheng, Cancan Liu, Chao Kong
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	MDPI AG 2024-06-01
الموضوعات:	seismic monitoring in mines rockburst seismic data integrity gradient boosting machine learning
الوصول للمادة أونلاين:	https://www.mdpi.com/2227-7390/12/12/1902