Using machine learning models to predict and choose meshes reordered by graph algorithms to improve execution times for hydrological modeling
Author:
Publisher
Elsevier BV
Subject
Ecological Modelling,Environmental Engineering,Software
Reference54 articles.
1. Robustness of Extreme Learning Machine in the prediction of hydrological flow series;Atiquzzaman;Comput. Geosci.,2018
2. Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models;Bai;J. Hydrol.,2016
3. A hierarchical network-based algorithm for multi-scale watershed delineation;Castronova;Comput. Geosci.,2014
4. Delaunay Mesh Generation;Cheng,2012
5. “Meshing Smooth Surfaces and Volumes,” in Delaunay Mesh Generation;Cheng,2012
Cited by 4 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. Analysis of Water Conservation Trends and Drivers in an Alpine Region: A Case Study of the Qilian Mountains;Remote Sensing;2023-09-20
2. Application of Artificial Intelligence Techniques for the Determination of Groundwater Level Using Spatio–Temporal Parameters;ACS Omega;2022-03-21
3. Establishing a time series trend structure model to mine potential hydrological information from hydrometeorological time series data;Science of The Total Environment;2020-01
4. Comparison of daily streamflow forecasts using extreme learning machines and the random forest method;Hydrological Sciences Journal;2019-10-25
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