A novel combination of PCA and machine learning techniques to select the most important factors for predicting tunnel construction performance

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Wang, Jiangfeng, Mohammed, Ahmed Salih, Macioszek, Elzbieta, Ali, Mujahid, Ulrikh, Dmitrii Vladimirovich, Fang, Qiancheng
Format: Article
Published: MDPI 2022
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.um.edu.my/41674/
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Malaya

Internet

http://eprints.um.edu.my/41674/

Similar Items