Novel Grain and Form Roughness Estimator Scheme Incorporating Artificial Intelligence Models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
http://link.springer.com/article/10.1007/s11269-018-2141-z/fulltext.html
Reference43 articles.
1. Alizadeh MJ, Shahheydari H, Kavianpour MR, Shamloo H, Barati R (2017) Prediction of longitudinal dispersion coefficient in natural rivers using a cluster-based Bayesian network. Environ Earth Sci 76(2):86
2. Azamathulla HM (2013) Gene-expression programming to predict friction factor for southern Italian rivers. Neural Comput Applic 23(5):1421–1426
3. Azamathulla HM, Ghani AA (2010) Genetic programming to predict river pipeline scour. J Pipeline Syst Eng Pract 1(3):127–132
4. Azamathulla HM, Ghani AA (2011) Genetic programming for predicting longitudinal dispersion coefficients in streams. Water Resour Manag 25(6):1537–1544
5. Barati R, Neyshabouri SAAS, Ahmadi G (2014) Development of empirical models with high accuracy for estimation of drag coefficient of flow around a smooth sphere: an evolutionary approach. Powder Technol 257:11–19
Cited by 27 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. Modeling flow resistance and geometry of dunes bed form in alluvial channels using hybrid RANN–AHA and GEP models;International Journal of Sediment Research;2024-08
2. Open-Channel Hydrodynamic Numerical Simulation of Topographically Uncharted River Based on Observational Data-Driven Method;Journal of Water Resources Planning and Management;2024-01
3. Algorithmic Fairness in Healthcare Data with Weighted Loss and Adversarial Learning;Lecture Notes in Networks and Systems;2024
4. Machine learning approaches for adequate prediction of flow resistance in alluvial channels with bedforms;Water Science & Technology;2023-12-23
5. Enhancing the EPANET Hydraulic Model through Genetic Algorithm Optimization of Pipe Roughness Coefficients;Water Resources Management;2023-11-23
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