A novel constrained dense convolutional autoencoder and DNN-based semi-supervised method for shield machine tunnel geological formation recognition
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Title
A novel constrained dense convolutional autoencoder and DNN-based semi-supervised method for shield machine tunnel geological formation recognition
Authors
Keywords
Geological formation recognition, Shield machine, Semi-supervised learning, Constrained dense convolutional autoencoder, Parameter selection
Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 165, Issue -, Pages 108353
Publisher
Elsevier BV
Online
2021-08-27
DOI
10.1016/j.ymssp.2021.108353
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