Monthly Runoff Prediction Via Mode Decomposition-Recombination Technique-Reference-Cited by-同舟云学术

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Monthly Runoff Prediction Via Mode Decomposition-Recombination Technique

Published:2023-12-01 Issue:1 Volume:38 Page:269-286
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Yang Xi,Chen Zhihe,Qin Min

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11269-023-03668-w.pdf

Reference27 articles.

1. Alsavaf Y, Teksoy A (2022) Applicability of recurrent neural networks to retrieve missing runoff records: challenges and opportunities in Turkey. Environ Monit Assess 194(1):28

2. An LX, Hao YH, Yeh TCJ, Liu Y, Liu WQ, Zhang BJ (2020) Simulation of karst spring discharge using a combination of time–frequency analysis methods and long short-term memory neural networks. J Hydrol 589

3. Cheng M, Fang F, Kinouchi T, Navon IM, Pain CC (2020) Long lead-time daily and monthly streamflow forecasting using machine learning methods. J Hydrol 590:15376

4. Feng ZK, Duan JF, Niu WJ, Jiang ZQ, Liu Y (2022) Enhanced sine cosine algorithm using opposition learning, adaptive evolution and neighborhood search strategies for multivariable parameter optimization problems. Appl Soft Comput 119:108562

5. Faramarzi A, Heidarinejad M, Mirjalili S, Gandomi AH (2020) Marine predators algorithm: a nature-inspired metaheuristic. Expert Syst Appl 152:113377

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2. Research on Optimal Selection of Runoff Prediction Models Based on Coupled Machine Learning Methods;2024-08-13

3. Inconsistent Monthly Runoff Prediction Models Using Mutation Tests and Machine Learning;Water Resources Management;2024-06-18

4. Regional Water Environmental Carrying Capacity: Changing Trends and Direction, Obstacle Factors, and Implications;Water Resources Management;2024-03-09

5. Evaluating the Performance of Several Data Preprocessing Methods Based on GRU in Forecasting Monthly Runoff Time Series;Water Resources Management;2024-03-06

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