Identification of the key driving factors of flash flood based on different feature selection techniques coupled with random forest method

Identification of the key driving factors of flash flood based on different feature selection techniques coupled with random forest method

Study region: The mountainous area of Guangdong Province, China. Study focus: A random forest coupling with feature selection (RF-FS) method framework, containing random forest coupling with shadow variable search, random forest coupling with recursive feature elimination, and random forest coupling...

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Bibliographic Details
Main Authors: X.Z. Tan, Y. Li, X.X. Wu, C. Dai, X.L. Zhang, Y.P. Cai
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Feature selection
Key driving factors of flash flood
Random forest
Flash flood risk modeling
Mountainous area of Guangdong Province
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581823003117

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http://www.sciencedirect.com/science/article/pii/S2214581823003117

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