Multi-Classification of Complex Microseismic Waveforms Using Convolutional Neural Network: A Case Study in Tunnel Engineering

Due to the complexity of the various waveforms of microseismic data, there are high requirements on the automatic multi-classification of such data; an accurate classification is conducive for further signal processing and stability analysis of surrounding rock masses. In this study, a microseismic...

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Detalles Bibliográficos
Autores principales: Zhang, Hang, Zeng, Jun, Ma, Chunchi, Li, Tianbin, Deng, Yelin, Song, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8539024/
https://www.ncbi.nlm.nih.gov/pubmed/34695975
http://dx.doi.org/10.3390/s21206762

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8539024/
https://www.ncbi.nlm.nih.gov/pubmed/34695975
http://dx.doi.org/10.3390/s21206762

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