Real-time classification model for tunnel surrounding rocks based on high-resolution neural network and structure–optimizer hyperparameter optimization-Reference-Cited by-同舟云学术

Real-time classification model for tunnel surrounding rocks based on high-resolution neural network and structure–optimizer hyperparameter optimization

Published:2024-04 Issue: Volume:168 Page:106155
ISSN:0266-352X
Container-title:Computers and Geotechnics
language:en
Short-container-title:Computers and Geotechnics

Author:

Ma Junjie^ORCID,Ma Chunchi,Li Tianbin,Yan Wenjin^ORCID,Faradonbeh Roohollah Shirani,Long Haitao,Dai Kunkun

Funder

State Key Laboratory of Geohazard Prevention and Geoenvironment Protection

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference52 articles.

1. Optuna: a next-generation hyperparameter optimization framework;Akiba,2019

2. Advance rates of hard rock TBMs and their effects on project economics;Alber;Tunn. Undergr. Space Technol.,2000

3. TBM tunnelling in jointed and faulted rock;Barton,2000

4. Some new Q-value correlations to assist in site characterisation and tunnel design;Barton;Int. J. Rock Mech. Min. Sci.,2002

5. Engineering classification of rock masses for the design of tunnel support;Barton;Rock Mech.,1974

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Novel multifractal-based classification model for the quality grades of surrounding rock within tunnels;Underground Space;2024-08

2. An interpretable probabilistic prediction algorithm for shield movement performance;Frontiers in Earth Science;2024-07-01

3. Special collection on “Recent Advancements in Data-Centric Geotechnics” for Computers and Geotechnics;Computers and Geotechnics;2024-07