Developing hybrid ELM-ALO, ELM-LSO and ELM-SOA models for predicting advance rate of TBM

Accurate prediction of TBM performance is very important for efficient completion of TBM construction tunnel project. This paper aims to predict the advance rate (AR) of tunnel boring machine (TBM) using three hybrid models by combining three swarm intelligence optimization algorithm (Ant Lion Optim...

Full description

Saved in:
Bibliographic Details
Main Authors: Li, Chuanqi, Zhou, Jian, Tao, Ming, Du, Kun, Wang, Shaofeng, Armaghani, Danial Jahed, Mohamad, Edy Tonnizam
Format: Article
Published: Elsevier Ltd 2022
Subjects:
Online Access:http://eprints.utm.my/104686/
http://dx.doi.org/10.1016/j.trgeo.2022.100819
Tags: Add Tag
No Tags, Be the first to tag this record!