A novel combination of PCA and machine learning techniques to select the most important factors for predicting tunnel construction performance
Numerous studies have reported the effective use of artificial intelligence approaches, particularly artificial neural networks (ANNs)-based models, to tackle tunnelling issues. However, having a high number of model inputs increases the running time and related mistakes of ANNs. The principal compo...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
MDPI
2022
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/41674/ |
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