Deep convolutional neural network target detection algorithm for coal mine fault detection

Deep convolutional neural network target detection algorithm for coal mine fault detection

Fault interpretation plays an important role in the field of coal mine safety. The development of neural network gives rise to many intelligent seismic data interpretation and processing schemes based on neural network algorithm. This study ①selected the Faster R-CNN target detection algorithm more...

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Bibliographic Details
Main Authors: Zhang Chunxiang, Tang Yexiu, Zou Guangui, Zeng Yiwen, Fan Zhuo
Format: Article
Language:English
Published: Emergency Management Press 2023-12-01
Series:矿业科学学报
Subjects:
deep convolutional neural networks
fault detection
seismic orthorectification models
target detection
Online Access:http://kykxxb.cumtb.edu.cn/en/article/doi/10.19606/j.cnki.jmst.2023.06.001

Internet

http://kykxxb.cumtb.edu.cn/en/article/doi/10.19606/j.cnki.jmst.2023.06.001

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