Predicting Standardized Streamflow index for hydrological drought using machine learning models-Reference-Cited by-同舟云学术

Predicting Standardized Streamflow index for hydrological drought using machine learning models

Published:2020-01-01 Issue:1 Volume:14 Page:339-350
ISSN:1994-2060
Container-title:Engineering Applications of Computational Fluid Mechanics
language:en
Short-container-title:Engineering Applications of Computational Fluid Mechanics

Author:

Shamshirband Shahabbodin¹²^ORCID,Hashemi Sajjad³,Salimi Hana³,Samadianfard Saeed³,Asadi Esmaeil³,Shadkani Sadra³,Kargar Katayoun⁴,Mosavi Amir⁵⁶^ORCID,Nabipour Narjes⁷,Chau Kwok-Wing⁸

Affiliation:

1. Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh, Vietnam

2. Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh, Vietnam

3. Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran

4. Department of Civil Engineering, Faculty of Engineering, Urmia University, Urmia, Iran

5. Kalman Kando Faculty of Electrical Engineering, Obuda University, Budapest, Hungary

6. School of the Built Environment, Oxford Brookes University, Oxford, UK

7. Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam

8. Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hung Hom, Hong Kong, People’s Republic of China

Publisher

Informa UK Limited

Subject

Modeling and Simulation,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19942060.2020.1715844

Reference46 articles.

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