An automatic P-wave onset time picking method for mining-induced microseismic data based on long short-term memory deep neural network
Author:
Affiliation:
1. College of Information Science and Engineering, Northeastern University, Shenyang, China
2. Center of Rock Instability and Seismicity Research, School of Resources and Civil Engineering, Northeastern University, Shenyang, China
Funder
National Natural Science Foundation of China
Post-doctoral International Exchange Program
Post-doctoral fund of Northeastern University
Fundamental Research Funds for the Central Universities
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/19475705.2022.2057241
Reference45 articles.
1. Automatic detection and picking of P-wave arrival in locally stationary noise using cross-correlation
2. Automatic earthquake recognition and timing from single traces
3. Tensile fracture propagation and acoustic emission activity in sandstone: The effect of loading rate
4. Learning long-term dependencies with gradient descent is difficult
5. Beroza W, Beroza GC. 2018. PhaseNet: a deep-neural-network-based seismic arrival time picking method. Geophys J Int. 216(1): 261-273.
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