Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution

Kisi, Ozgur; Parmar, Kulwinder Singh

doi:10.1016/j.jhydrol.2015.12.014

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Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution

Author(s): Ozgur Kisi , Kulwinder Singh Parmar

Publication date Created: March 2016

Publication date (Print): March 2016

Journal: Journal of Hydrology

Publisher: Elsevier BV

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Title: Journal of Hydrology

Abbreviated Title: Journal of Hydrology

Publisher: Elsevier BV

ISSN (Print): 00221694

Publication date Created: March 2016

Publication date (Print): March 2016

Volume: 534

Pages: 104-112

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DOI: 10.1016/j.jhydrol.2015.12.014

SO-VID: c21748f5-3782-42b0-bb2c-2e1d49b8dc7b

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http://www.elsevier.com/tdm/userlicense/1.0/

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Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution

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Multivariate statistics in earth science

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