Forecasting tunnel geology, construction time and costs using machine learning methods-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Forecasting tunnel geology, construction time and costs using machine learning methods

Published:2020-05-18 Issue:1 Volume:33 Page:321-348
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Mahmoodzadeh Arsalan,Mohammadi Mokhtar,Daraei Ako,Farid Hama Ali Hunar,Ismail Abdullah Abdulqadir,Kameran Al-Salihi Nawzad

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-020-05006-2.pdf

Reference50 articles.

1. Flyvbjerg B, Holm MS, Buhl S (2002) Underestimating costs in public works projects: error or lie? J Am Plan Assoc 68:279–295. https://doi.org/10.1080/01944360208976273

2. Wang S, Li L, Shi S, Cheng S, Hu H, Wen T (2020) Dynamic risk assessment method of collapse in mountain tunnels and application. Geotech Geol Eng. https://doi.org/10.1007/s10706-020-01196-7

3. Zhou H, Zhao Y, Shen Q, Yang L, Cai H (2020) Risk assessment and management via multi-source information fusion for undersea tunnel construction. Autom Constr 111:103050. https://doi.org/10.1016/j.autcon.2019.103050

4. Wang X, Shi K, Shi Q, Dong H, Chen M (2020) A normal cloud model-based method for risk assessment of water inrush and its application in a super-long tunnel constructed by a tunnel boring machine in the arid area of Northwest China. Water 12:644. https://doi.org/10.3390/w12030644

5. Shahrour I, Bian H, Xie X, Zhang Z (2020) Use of smart technology to improve management of utility tunnels. Appl Sci 10:711. https://doi.org/10.3390/app10020711

Cited by 47 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. From digital model to digital twin in tunnel construction;Civil Engineering Design;2024-08-30

2. Real-Time Prediction of Disc Cutter Wear in Low-Abrasive Rocks: Integrating Physico-Mechanical Properties and Signal Processing Features Through Machine Learning Methods;Arabian Journal for Science and Engineering;2024-07-23

3. Constructive and technological proposals for the creation of a high-speed transport and energy highway in the arctic zone;Modern Transportation Systems and Technologies;2024-06-20

4. Geological risk prediction under uncertainty in tunnel excavation using online learning and hidden Markov model;Frontiers of Engineering Management;2024-06-06

5. Progresses and Challenges of Machine Learning Approaches in Thermochemical Processes for Bioenergy: A Review;Korean Journal of Chemical Engineering;2024-05-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3