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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

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