Recognition of Rock Micro-Fracture Signal Based on Deep Convolution Neural Network Inception Algorithm
Rockburst is a common geological disaster in mines, tunnels, deep underground engineering, and during excavation, mining, and construction. Rockburst frequently occurs as the depth of burial increases, and its early warning technology is in urgent need of further development. At present, the most ef...
Main Authors: | Guili Peng, Xianguo Tuo, Tong Shen, Jing Lu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9447036/ |
Similar Items
-
Research on Inception Module Incorporated Siamese Convolutional Neural Networks to Realize Face Recognition
by: Xian-Feng Xu, et al.
Published: (2020-01-01) -
SAR Target Recognition Based on Inception and Fully Convolutional Neural Network Combining Amplitude Domain Multiplicative Filtering Method
by: He Chen, et al.
Published: (2022-11-01) -
IRDC-Net: An Inception Network with a Residual Module and Dilated Convolution for Sign Language Recognition Based on Surface Electromyography
by: Xiangrui Wang, et al.
Published: (2023-06-01) -
Face-Inception-Net for Recognition
by: Qinghui Zhang, et al.
Published: (2024-03-01) -
Fracture evolution in soluble rocks: From single-material fractures towards multi-material fractures
by: Georg Kaufmann, et al.
Published: (2017-11-01)