A hybrid recognition model of microseismic signals for underground mining based on CNN and LSTM networks

A hybrid recognition model of microseismic signals for underground mining based on CNN and LSTM networks

Microseismic (MS) monitoring technology has been widely used to monitor ground pressure disasters. However, the underground mining environment is complex and contains many types of noise sources. Furthermore, the traditional recognition method entails a complex process with low recognition accuracy...

Full description

Bibliographic Details
Main Authors: Yong Zhao, Haiyan Xu, Tianhong Yang, Shuhong Wang, Dongdong Sun
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
mine microseismic monitoring
convolutional neural networks
long short-term memory
signal recognition
Online Access:http://dx.doi.org/10.1080/19475705.2021.1968043

Similar Items

Similar Items