Sequential Prediction of the TBM Tunnelling Attitude Based on Long-Short Term Memory with Mechanical Movement Principle
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12205-023-1286-3.pdf
Reference33 articles.
1. Armaghani DJ, Mohamad ET, Narayanasamy MS, Narita N, Yagiz S (2017) Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition. Tunnelling and Underground Space Technology 63:29–43, DOI: https://doi.org/10.1016/j.tust.2016.12.009
2. Bengio Y (2002) Learning long-term dependencies with gradient descent is difficult. IEEE Trans Neural Netw, 5, DOI: https://doi.org/10.1109/72.279181
3. Chen G, Qian J, Zhang Z (2020) Application of modified pigeon-inspired optimization algorithm and constraint-objective sorting rule on multi-objective optimal power flow problem. Applied Soft Computing 92: 106321, DOI: https://doi.org/10.1016/j.asoc.2020.106321
4. Choi SO, Lee SJ (2015) Three-dimensional numerical analysis of the rock-cutting behavior of a disc cutter using particle flow code. KSCE Journal of Civil Engineering 19(4):1129–1138, DOI: https://doi.org/10.1007/s12205-013-0622-4
5. Choi SO, Lee SJ (2016) Numerical study to estimate the cutting power on a disc cutter in jointed rock mass. KSCE Journal of Civil Engineering 20(1):440–451, DOI: https://doi.org/10.1007/s12205-015-2265-0
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