Using machine learning approach for microseismic events recognition in underground excavations: Comparison of ten frequently-used models

Correctly distinguishing microseismic and blasting events in underground excavations is fundamental to subsequent geophysical analysis activities such as rock burst early warning and tunnel deformation monitoring. Conventional distinguishing approaches such as waveform analysis require operating per...

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Veröffentlicht in:	Engineering geology 2020-04, Vol.268 (C), p.105519, Article 105519
Hauptverfasser:	Pu, Yuanyuan, Apel, Derek B., Hall, Robert
Format:	Artikel
Sprache:	eng
Schlagworte:	Blasting events Fuzzy comprehensive evaluation Machine learning Microseismic events
Online-Zugang:	Volltext
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