Machine-learning interpretability techniques for seismic performance assessment of infrastructure systems
Author:
Funder
National Research Foundation of Korea
Ministry of Science and ICT, South Korea
Publisher
Elsevier BV
Subject
Civil and Structural Engineering
Reference48 articles.
1. Metamodel-based regional vulnerability estimate of irregular steel moment-frame structures subjected to earthquake events;Seo;Eng Struct,2012
2. Use of response surface metamodels to generate system level fragilities for existing curved steel bridges;Seo;Eng Struct,2013
3. Artificial neural network based multi-dimensional fragility development of skewed concrete bridge classes;Mangalathu;Eng Struct,2018
4. Critical uncertainty parameters influencing seismic performance of bridges using Lasso regression;Mangalathu;Earthquake Eng Struct Dyn,2018
5. Enhanced fragility analysis of buried pipelines through Lasso regression;Ni;Acta Geotech,2020
Cited by 83 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. A new approach for predicting oil mobilities and unveiling their controlling factors in a lacustrine shale system: Insights from interpretable machine learning model;Fuel;2025-01
2. Nonlinear tree based regression ensemble modeling for repair cost prediction in earthquake damaged RC bridges;Soil Dynamics and Earthquake Engineering;2024-12
3. Machine learning prediction of bio-polyol yields and hydroxyl values from acid-catalyzed liquefaction of lignocellulosic biomass;Industrial Crops and Products;2024-10
4. Effect of data drift on the performance of machine‐learning models: Seismic damage prediction for aging bridges;Earthquake Engineering & Structural Dynamics;2024-09-06
5. SHAP-PDP hybrid interpretation of decision-making mechanism of machine learning-based landslide susceptibility mapping: A case study at Wushan District, China;The Egyptian Journal of Remote Sensing and Space Sciences;2024-09
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