An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction-Reference-Cited by-同舟云学术

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

Published:2019-02 Issue: Volume:569 Page:387-408
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Yaseen Zaher Mundher,Sulaiman Sadeq Oleiwi,Deo Ravinesh C.^ORCID,Chau Kwok-Wing^ORCID

Publisher

Elsevier BV

Subject

Water Science and Technology

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4. Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting;Ali;Atmos. Res.,2018

5. Modelling long-term groundwater fluctuations by extreme learning machine using hydro-climatic data;Alizamir;Hydrol. Sci. J.,2017

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