A comparison of various artificial intelligence approaches performance for estimating suspended sediment load of river systems: a case study in United States (vol 187, pg 4381, 2015)

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A comparison of various artificial intelligence approaches performance for estimating suspended sediment load of river systems: a case study in United States (vol 187, pg 4381, 2015) Other Scholarly Work

cited authors

Olyaie, Ehsan; Banejad, Hossein; Chau, Kwok-Wing; Melesse, Assefa M

sustainable development goals

authors

Melesse, Assefa

publication date

May 1, 2015

webpage

https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000355607100029&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=e451fd656366bf1ec5554941920a9ccb

published in

Environmental Monitoring and Assessment Journal

keywords

Environmental Sciences
Environmental Sciences & Ecology
Life Sciences & Biomedicine
Science & Technology

WoS ID

000355607100029

Digital Object Identifier (DOI)

https://doi.org/10.1007/s10661-015-4526-2

volume

187

issue

5

international collaboration

true

open access

true