Machine Learning for Seismic Bump Prediction: A Comparative Study of Different Algorithms and Features

Predicting seismic events is crucial to preventing rock rupture events in coal mines. This endeavor involves analyzing long-term historical relationships between seismic data, or patterns and trends from the length of time series observations, to understand changing stress conditions and predict fut...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of Applied Science and Engineering Jg. 29; H. 5; S. 1035 - 1051
1. Verfasser:	Fei Li
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Tamkang University Press 2026
Schlagworte:	dwarf mongoose optimization algorithm machine learning algorithm random forest classification seismic bump
ISSN:	2708-9967, 2708-9975
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!