Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs-Reference-Cited by-同舟云学术

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

Published:2020-07 Issue: Volume:586 Page:124371
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Adnan Rana Muhammad,Liang Zhongmin,Heddam Salim,Zounemat-Kermani Mohammad,Kisi Ozgur^ORCID,Li Binquan^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference64 articles.

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4. Evaluation of high-resolution satellite-based real-time and post-real-time precipitation estimates during 2010 extreme flood event in Swat River Basin, Hindukush Region;Anjum;Adv. Meteorol.,2016

5. Development of a hybrid data driven model for hydrological estimation;Araghinejad;Water Resour. Manage.,2018

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