Approaches for the short-term prediction of natural daily streamflows using hybrid machine learning enhanced with grey wolf optimization-Reference-Cited by-同舟云学术

Approaches for the short-term prediction of natural daily streamflows using hybrid machine learning enhanced with grey wolf optimization

Published:2022-11-29 Issue:1 Volume:68 Page:16-33
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Martinho Alfeu D.¹²^ORCID,Saporetti Camila M.³^ORCID,Goliatt Leonardo²^ORCID

Affiliation:

1. Exact Sciences and Technology Department, Universidade Púnguè, Delegação de Tete, Campus Universitário de Cambinde – EN106, Matundo, Mozambique

2. Computational and Applied Mechanics Department, Universidade Federal de Juiz de Fora, Campus Universitário, Rua José Lourenço Kelmer, s/n – São Pedro, Juiz de Fora, Brazil

3. Universidade Do Estado de Minas Gerais, Av. Paraná, 3001 – Jardim Belvedere I, Divinópolis, Brazil

Funder

CAPES

CNPQ

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2022.2141121

Reference113 articles.

1. Daily streamflow prediction using optimally pruned extreme learning machine

2. Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs

3. Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs

4. Novel Ensemble Forecasting of Streamflow Using Locally Weighted Learning Algorithm

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