Coal-gangue recognition via multi-branch convolutional neural network based on MFCC in noisy environment

Traditional coal-gangue recognition methods usually do not consider the impact of equipment noise, which severely limits its adaptability and recognition accuracy. This paper mainly studies the more accurate recognition of coal-gangue in the noise site environment with the operation of shearer, conv...

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Detalles Bibliográficos
Autores principales: Jiang, HaiYan, Zong, DaShuai, Song, QingJun, Gao, KuiDong, Shao, HuiZhi, Liu, ZhiJiang, Tian, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121578/
https://www.ncbi.nlm.nih.gov/pubmed/37085691
http://dx.doi.org/10.1038/s41598-023-33351-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121578/
https://www.ncbi.nlm.nih.gov/pubmed/37085691
http://dx.doi.org/10.1038/s41598-023-33351-4

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