Research on Microseismic Source Locations Based on Deep Reinforcement Learning

Research on Microseismic Source Locations Based on Deep Reinforcement Learning

The technology used to locate the sources of shallow underground seismic activity is mainly used to assess underground damage, the positioning of bombs in ordnance test fields, and the positioning of charges in engineering blasting. Due to sensor acquisition clock errors and the lack of generalizabi...

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Bibliographic Details
Main Authors: Yangxu Wu, Jiaotong Wei, Jinxiao Pan, Ping Chen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural network (CNN)
deep reinforcement learning (DRL)
deep Q-learning (DQN)
source-scanning algorithm (SSA)
Online Access:https://ieeexplore.ieee.org/document/8669826/

Internet

https://ieeexplore.ieee.org/document/8669826/

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