Reservoir inflow predicting model based on machine learning algorithm via multi‐model fusion: A case study of Jinshuitan river basin

Reservoir inflow predicting model based on machine learning algorithm via multi‐model fusion: A case study of Jinshuitan river basin

Abstract Flood prevention and disaster mitigation have a great impact on people's lives and properties, and so it is urgent to realise high‐accuracy inflow predictions for flood early warning. To this end, a prediction model based on a machine learning algorithm via a multimodel combination met...

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Bibliographic Details
Main Authors: Wei Zhang, Hanyong Wang, Yemin Lin, Jianle Jin, Wenjuan Liu, Xiaolan An
Format: Article
Language:English
Published: Wiley 2021-09-01
Series:IET Cyber-systems and Robotics
Subjects:
disasters
floods
geophysics computing
hydrological techniques
hydrology
learning (artificial intelligence)
Online Access:https://doi.org/10.1049/csy2.12015

Internet

https://doi.org/10.1049/csy2.12015

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