Wang, J.; Mohammed, A.S.; Macioszek, E.; Ali, M.; Ulrikh, D.V.; Fang, Q.
A Novel Combination of PCA and Machine Learning Techniques to Select the Most Important Factors for Predicting Tunnel Construction Performance. Buildings 2022, 12, 919.
https://doi.org/10.3390/buildings12070919
AMA Style
Wang J, Mohammed AS, Macioszek E, Ali M, Ulrikh DV, Fang Q.
A Novel Combination of PCA and Machine Learning Techniques to Select the Most Important Factors for Predicting Tunnel Construction Performance. Buildings. 2022; 12(7):919.
https://doi.org/10.3390/buildings12070919
Chicago/Turabian Style
Wang, Jiangfeng, Ahmed Salih Mohammed, Elżbieta Macioszek, Mujahid Ali, Dmitrii Vladimirovich Ulrikh, and Qiancheng Fang.
2022. "A Novel Combination of PCA and Machine Learning Techniques to Select the Most Important Factors for Predicting Tunnel Construction Performance" Buildings 12, no. 7: 919.
https://doi.org/10.3390/buildings12070919
APA Style
Wang, J., Mohammed, A. S., Macioszek, E., Ali, M., Ulrikh, D. V., & Fang, Q.
(2022). A Novel Combination of PCA and Machine Learning Techniques to Select the Most Important Factors for Predicting Tunnel Construction Performance. Buildings, 12(7), 919.
https://doi.org/10.3390/buildings12070919
