A novel constrained dense convolutional autoencoder and DNN-based semi-supervised method for shield machine tunnel geological formation recognition
Accurately acquiring the geological information of the tunnel face will help to set the optimal
operational parameters, so that the shield machine can achieve better tunneling …
operational parameters, so that the shield machine can achieve better tunneling …
A novel constrained dense convolutional autoencoder and DNN-based semi-supervised method for shield machine tunnel geological formation recognition
H Yu, J Tao, C Qin, M Liu, D Xiao… - … Systems and Signal …, 2022 - ui.adsabs.harvard.edu
Accurately acquiring the geological information of the tunnel face will help to set the optimal
operational parameters, so that the shield machine can achieve better tunneling …
operational parameters, so that the shield machine can achieve better tunneling …