Automatic Recognition of Faults in Mining Areas Based on Convolutional Neural Network

Automatic Recognition of Faults in Mining Areas Based on Convolutional Neural Network

Tectonic interpretation is critical to a coal mine’s safe production, and fault interpretation is an essential component of seismic tectonic interpretation. With the increasing necessity for accuracy in fault interpretation in coal mines, it is increasingly challenging to achieve greater accuracy on...

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Bibliographic Details
Main Authors: Guangui Zou, Hui Liu, Ke Ren, Bowen Deng, Jingwen Xue
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Energies
Subjects:
convolutional neural network
fault interpretation
model parameters
training set
Online Access:https://www.mdpi.com/1996-1073/15/10/3758

Internet

https://www.mdpi.com/1996-1073/15/10/3758

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