A Multivariate and Multistage Streamflow Prediction Model Based on Signal Decomposition Techniques with Deep Learning-Reference-Cited by-同舟云学术

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A Multivariate and Multistage Streamflow Prediction Model Based on Signal Decomposition Techniques with Deep Learning

Published:2021-07-16 Issue:6 Volume:37 Page:
ISSN:0749-0208
Container-title:Journal of Coastal Research
language:
Short-container-title:Journal of Coastal Research

Author:

Yan Dongfei¹,Jiang Rengui¹,Xie Jiancang¹,Zhu Jiwei¹,Liang Jichao¹,Wang Yinping¹

Affiliation:

1. State Key Laboratory of Eco-hydraulics in Northwest Arid Region Xi'an University of Technology Xi'an 710048, ShaanXi, China

Publisher

Coastal Education and Research Foundation

Subject

Earth-Surface Processes,Water Science and Technology,Ecology

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. A Data-Driven Method and Hybrid Deep Learning Model for Flood Risk Prediction;International Journal of Intelligent Systems;2024-02-27

2. Improving Multivariate Runoff Prediction Through Multistage Novel Hybrid Models;Water Resources Management;2024-02-14

3. Flood prediction based on feature selection and a hybrid deep learning network;Journal of Water and Climate Change;2024-02-09

4. Hybrid short-term runoff prediction model based on optimal variational mode decomposition, improved Harris hawks algorithm and long short-term memory network;Environmental Research Communications;2022-04-01

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