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TreeLSTM: A spatiotemporal machine learning model for rainfall-runoff estimation

Chen, Zeqiang / Lin, Hui / Shen, Gaoyun

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TreeLSTM: A spatiotemporal machine learning model for rainfall-runoff estimation

Chen, Zeqiang / Lin, Hui / Shen, Gaoyun

TreeLSTM: A spatiotemporal machine learning model for rainfall-runoff estimation

Chen, Zeqiang / Lin, Hui / Shen, Gaoyun

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Document information

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Document information

Title:

TreeLSTM: A spatiotemporal machine learning model for rainfall-runoff estimation

Additional title:

Journal of Hydrology: Regional Studies

Contributors:

Chen, Zeqiang (author) / Lin, Hui (author) / Shen, Gaoyun (author)

Published in:

Journal of Hydrology: Regional Studies ; 48

Publication date:

2023-08-01

ISSN:

2214-5818

DOI:

https://doi.org/10.1016/j.ejrh.2023.101474

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

English

Licence:

http://creativecommons.org/licenses/by-nc-nd/4.0/

Zeqiang Chen / Hui Lin / Gaoyun Shen | DOAJ | 2023

Free access

Parameters Estimation of Rainfall-Runoff Model with Genetic Algorithms

Park, B. J. / Cha, H. S. / Kim, J. H. et al. | British Library Conference Proceedings | 1997

Effects of Rainfall Spatial Distribution on the Relationship between Rainfall Spatiotemporal Resolution and Runoff Prediction Accuracy

Changhwan Kim / Dae-Hong Kim | DOAJ | 2020

Free access

Evaluating Rainfall-Runoff Model Performance

Moore, Ian D. / Mein, Russell G. | ASCE | 2021

Simple Nonlinear Rainfall-Runoff Model

Basha, H. A. | British Library Online Contents | 2000