River discharge simulation using variable parameter McCarthy–Muskingum and wavelet-support vector machine methods
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-018-3745-1.pdf
Reference57 articles.
1. Adamowski J, Chan HF (2011) A wavelet neural network conjunction model for groundwater level forecasting. J Hydrol 407(1):28–40
2. Adamowski J, Sun K (2010) Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds. J Hydrol 390(1):85–91
3. Agarwal A, Maheswaran R, Kurths J, Khosa R (2016) Wavelet spectrum and self-organizing maps-based approach for hydrologic regionalization—a case study in the western United States. Water Resour Manag 30(12):4399–4413
4. ASCE Task Committee (2000) Artificial neural networks in hydrology. II: Hydrological applications. J Hydrol Eng 5(2):124–137
5. Badrzadeh H, Sarukkalige R, Jayawardena AW (2013) Impact of multi-resolution analysis of artificial intelligence models inputs on multi-step ahead river flow forecasting. J Hydrol 507:75–85
Cited by 6 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 systematic review of Muskingum flood routing techniques;Hydrological Sciences Journal;2024-04-25
2. Investigation of river water pollution using Muskingum method and particle swarm optimization (PSO) algorithm;Applied Water Science;2024-03-07
3. Deep neural network-based discharge prediction for upstream hydrological stations: a comparative study;Earth Science Informatics;2023-08-21
4. Optimization of supervised learning models for modeling of mean monthly flows;Neural Computing and Applications;2022-06-06
5. Effects of uncertainty in determining the parameters of the linear Muskingum method using the particle swarm optimization (PSO) algorithm;Journal of Water and Climate Change;2021-03-04
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