Prediction of Tunnel Face Stability Using a Naive Bayes Classifier
This paper develops a convenient approach for facilitating the prediction of tunnel face stability in the framework of Bayesian theorem. First, a number of values of the features influencing the face-stability of tunnels are chosen according to the full factorial design. Secondly, the software Optum...
Main Authors: | Bin Li, Hong Li |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-10-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/9/19/4139 |
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