CRML: A Convolution Regression Model With Machine Learning for Hydrology Forecasting

CRML: A Convolution Regression Model With Machine Learning for Hydrology Forecasting

Hydrologic disasters often result in substantial property damage and casualties. Therefore, hydrology forecasting, especially the flooding, has become a hot research spot in all countries of the world. Based on the basic principle of flooding formation, this paper proposes a data-driven hydrology fo...

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Bibliographic Details
Main Authors: Chen Chen, Qiang Hui, Qingqi Pei, Yang Zhou, Bin Wang, Ning Lv, Ji Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Hydrology forecasting
convolution regression algorithm
flood process selection algorithm
gradient descent
machine learning
Online Access:https://ieeexplore.ieee.org/document/8836461/

Internet

https://ieeexplore.ieee.org/document/8836461/

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