Reservoir water level forecasting using group method of data handling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geophysics
Link
http://link.springer.com/article/10.1007/s11600-018-0168-4/fulltext.html
Reference46 articles.
1. Altunkaynak A (2007) Forecasting surface water level fluctuations of lake van by artificial neural networks. Water Resour Manag 21(2):399–408
2. Barzegar R, Moghaddam AA, Adamowski J, Ozga-Zielinski B (2018) Multi-step water quality forecasting using a boosting ensemble multi-wavelet extreme learning machine model. Stoch Environ Res Risk Assess 32(3):799–813
3. Crapper PF, Fleming PM, Kalma JD (1996) Prediction of lake levels using water balance models. Environ Softw 11(4):251–258
4. Ebtehaj I, Bonakdari H, Khoshbin F, Azimi H (2015) Pareto genetic design of group method of data handling type neural network for prediction discharge coefficient in rectangular side orifices. Flow Meas Instrum 41:67–74
5. Ebtehaj I, Bonakdari H, Khoshbin F (2016) Evolutionary design of a generalized polynomial neural network for modeling sediment transport in clean pipes. Eng Optim 48(10):1793–1810
Cited by 38 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. Application of Quantum Neural Network for Solar Irradiance Forecasting: A Case Study Using the Folsom Dataset, California;Energies;2024-07-21
2. Chlorophyll-a Estimation in 149 Tropical Semi-Arid Reservoirs Using Remote Sensing Data and Six Machine Learning Methods;Remote Sensing;2024-05-24
3. Optimal operation of the dam reservoir in real time based on generalized structure of group method of data handling and optimization technique;Applied Water Science;2024-04-25
4. Spatio–temporal water quality assessment of Chohal and Damsal dams located in Kandi region of Punjab, India by geospatial technique and on-site investigation;Environmental Earth Sciences;2024-01
5. An interval water demand prediction method to reduce uncertainty: A case study of Sichuan Province, China;Environmental Research;2023-12
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