The role of matching pursuit algorithm and multi-scale daily rainfall data obtained from decomposition in runoff prediction-Reference-Cited by-同舟云学术

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The role of matching pursuit algorithm and multi-scale daily rainfall data obtained from decomposition in runoff prediction

Published:2024-06 Issue: Volume:53 Page:101836
ISSN:2214-5818
Container-title:Journal of Hydrology: Regional Studies
language:en
Short-container-title:Journal of Hydrology: Regional Studies

Author:

Zhang Shujian,Zhu Kui,Sun Xueying,Li Dongsheng,Gao Mingxing,Han Xuhang

Publisher

Elsevier BV

Reference49 articles.

1. Deep learning convolutional neural network in rainfall–runoff modelling;Anh;J. Hydroinform.,2020

2. The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU: a case study for six basins from the CAMELS dataset;Ayzel;Comput. Geosci.,2021

3. Prediction of remaining useful life using the CNN-GRU network: a study on maintenance management;Azyus;Softw. Impacts,2023

4. Estimation of total dissolved solids (TDS) using new hybrid machine learning models;Banadkooki;J. Hydrol.,2020

5. Permutation entropy: a natural complexity measure for time series;Bandt;Phys. Rev. Lett.,2002

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