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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| 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 |