XGB-Northern Goshawk Optimization: Predicting the Compressive Strength of Self-Compacting Concrete
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12205-024-1647-6.pdf
Reference63 articles.
1. Aghayari Hir M, Zaheri M, Rahimzadeh N (2022) Prediction of rural travel demand by spatial regression and artificial neural network methods (Tabriz County). Journal of Transportation Research 20(77):367–386, DOI: https://doi.org/10.22034/TRI.2022.312204.2970
2. Alabdullah AA, Iqbal M, Zahid M, Khan K, Amin MN, Jalal FE (2022) Prediction of rapid chloride penetration resistance of metakaolin based high strength concrete using light GBM and XGBoost models by incorporating SHAP analysis. Construction and Building Materials 345:128296, DOI: https://doi.org/10.1016/j.conbuildmat.2022.128296
3. Ali R, Muayad M, Mohammed AS, Asteris PG (2023) Analysis and prediction of the effect of Nanosilica on the compressive strength of concrete with different mix proportions and specimen sizes using various numerical approaches. Structural Concrete 24(3):4161–4184, DOI: https://doi.org/10.1002/suco.202200718
4. Ashrafian A, Taheri Amiri MJ, Masoumi P, Asadi-shiadeh M, Yaghoubichenari M, Mosavi A, Nabipour N (2020) Classification-based regression models for prediction of the mechanical properties of roller-compacted concrete pavement. Applied Sciences 10(11):3707, DOI: https://doi.org/10.3390/app10113707
5. Behar O, Khellaf A, Mohammedi K (2015) Comparison of solar radiation models and their validation under Algerian climate–The case of direct irradiance. Energy Conversion and Management 98:236–251, DOI: https://doi.org/10.1016/j.enconman.2015.03.067
Cited by 5 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. Enhancing earthquakes and quarry blasts discrimination using machine learning based on three seismic parameters;Ain Shams Engineering Journal;2024-09
2. Development of machine learning models for forecasting the strength of resilient modulus of subgrade soil: genetic and artificial neural network approaches;Scientific Reports;2024-08-06
3. Compressive strength prediction of nano-modified concrete: A comparative study of advanced machine learning techniques;AIP Advances;2024-07-01
4. Predicting Standard Penetration Test N-value from Cone Penetration Test Data Using Gene Expression Programming;Geotechnical and Geological Engineering;2024-06-14
5. A Multi-Strategy-Improved Northern Goshawk Optimization Algorithm for Global Optimization and Engineering Design;Computers, Materials & Continua;2024
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