Machine learning-based approach for predicting the consolidation characteristics of soft soil-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Machine learning-based approach for predicting the consolidation characteristics of soft soil

Published:2023-04-18 Issue: Volume: Page:1-15
ISSN:1064-119X
Container-title:Marine Georesources & Geotechnology
language:en
Short-container-title:Marine Georesources & Geotechnology

Author:

Singh Moirangthem Johnson¹,Kaushik Anshul¹,Patnaik Gyanesh¹,Xu Dong-Sheng²^ORCID,Feng Wei-Qiang³,Rajput Abhishek¹,Prakash Guru¹,Borana Lalit¹^ORCID

Affiliation:

1. Civil Engineering Department, Indian Institute of Technology Indore, Indore, Madhya Pradesh, India

2. School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, Hubei, China

3. Department of Ocean Sciences and Engineering, The Southern University of Science and Technology, Shenzhen, Guangdong, China

Publisher

Informa UK Limited

Subject

Ocean Engineering,Geotechnical Engineering and Engineering Geology,Oceanography

Link

https://www.tandfonline.com/doi/pdf/10.1080/1064119X.2023.2193174

Reference75 articles.

1. A novel integrated approach of ELM and modified equilibrium optimizer for predicting soil compression index of subgrade layer of Dedicated Freight Corridor

2. Novel integration of extreme learning machine and improved Harris hawks optimization with particle swarm optimization-based mutation for predicting soil consolidation parameter

Cited by 6 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. Explainable AI based slip prediction of steel-UHPC interface connected by shear studs;Expert Systems with Applications;2025-01

2. State-of-the-art review on the use of AI-enhanced computational mechanics in geotechnical engineering;Artificial Intelligence Review;2024-07-05

3. A super-learner machine learning model for a global prediction of compression index in clays;Applied Clay Science;2024-03

4. A Study on Developing a Model for Predicting the Compression Index of the South Coast Clay of Korea Using Statistical Analysis and Machine Learning Techniques;Applied Sciences;2024-01-23

5. Time-series forecasting of consolidation settlement using LSTM network;Applied Intelligence;2024-01

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