Research on optimal selection of runoff prediction models based on coupled machine learning methods
Abstract Runoff fluctuations under the influence of climate change and human activities present a significant challenge and valuable application in constructing high-accuracy runoff prediction models. This study aims to address this challenge by taking the Wanzhou station in the Three Gorges Reservo...
Saved in:
Main Authors: | Xing Wei, Mengen Chen, Yulin Zhou, Jianhua Zou, Libo Ran, Ruibo Shi |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-12-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-83695-8 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis of the Hydrological Regime in Small Basins within the Three Gorges Reservoir Area During the Impoundment Period
by: YIN Siwei, et al.
Published: (2023-01-01) -
A structural health monitoring data reconstruction method based on VMD and SSA-optimized GRU model
by: Xiaoliang Jia, et al.
Published: (2025-01-01) -
Spatiotemporal Changes of Extreme Precipitation and Its Teleconnection Analysis with Climate Circulation Indices in Three Gorges Reservoir Area in Recent 60 Years
by: ZENG Huiqi, et al.
Published: (2023-01-01) -
Rolling bearing fault diagnosis based on parameter optimized VMD and improved GoogLeNet
by: LI Haoran, et al.
Published: (2025-01-01) -
Bearing Fault Diagnosis Based on Parameter Optimized VMD and ELM with Improved SSA
by: Yang Sen, et al.
Published: (2023-10-01)