Microseismic records classification using capsule network with limited training samples in underground mining

The identification of suspicious microseismic events is the first crucial step in microseismic data processing. Existing automatic classification methods are based on the training of a large data set, which is challenging to apply in mines without a long-term manual data processing. In this paper, w...

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Detalles Bibliográficos
Autores principales: Peng, Pingan, He, Zhengxiang, Wang, Liguan, Jiang, Yuanjian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7434910/
https://www.ncbi.nlm.nih.gov/pubmed/32811883
http://dx.doi.org/10.1038/s41598-020-70916-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7434910/
https://www.ncbi.nlm.nih.gov/pubmed/32811883
http://dx.doi.org/10.1038/s41598-020-70916-z

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