An adaptive middle and long-term runoff forecast model using EEMD-ANN hybrid approach-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An adaptive middle and long-term runoff forecast model using EEMD-ANN hybrid approach

Published:2018-12 Issue: Volume:567 Page:767-780
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Tan Qiao-Feng,Lei Xiao-Hui,Wang Xu,Wang Hao,Wen Xin,Ji Yi,Kang Ai-Qin

Funder

National Key Research and Development Project

National Natural Science Foundation of China

National Key Technology R&D Program

State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference49 articles.

1. Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds;Adamowski;J. Hydrol.,2010

2. Multi-time scale stream flow predictions: The support vector machines approach;Asefa;J. Hydrol.,2006

3. A fully-online Neuro-Fuzzy model for flow forecasting in basins with limited data;Ashrafi;J. Hydrol.,2017

4. Runoff forecasting for an asphalt plane by Artificial Neural Networks and comparisons with kinematic wave and autoregressive moving average models;Chua;J. Hydrol.,2011

5. Artificial neural networks in hydrology;Govindaraju;J. Hydrol. Eng.,2000

Cited by 179 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. Enhanced daily streamflow forecasting in Northeastern Algeria: integrating hybrid machine learning with advanced wavelet transformation techniques;Modeling Earth Systems and Environment;2024-06-22

2. Coupled Flow CEEMDAN-SSA-BiLSTM-based predictive model;2024-06-05

3. Multi-lead-time short-term runoff forecasting based on Ensemble Attention Temporal Convolutional Network;Expert Systems with Applications;2024-06

4. Interpretable and explainable hybrid model for daily streamflow prediction based on multi-factor drivers;Environmental Science and Pollution Research;2024-05-06

5. Dynamic real-time forecasting technique for reclaimed water volumes in urban river environmental management;Environmental Research;2024-05

同舟云学术

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