Sediment transport modeling in open channels using neuro-fuzzy and gene expression programming techniques

dc.contributor.author	Kargar, K.
dc.contributor.author	Safari, M.J.S.
dc.contributor.author	Mohammadi, M.
dc.contributor.author	Samadianfard, S.
dc.date.accessioned	2021-01-25T20:48:14Z
dc.date.available	2021-01-25T20:48:14Z
dc.date.issued	2019
dc.identifier	10.2166/wst.2019.229
dc.identifier.issn	02731223
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071281263&doi=10.2166%2fwst.2019.229&partnerID=40&md5=32bbe62f7211e454184017562a80b550
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/9820
dc.description.abstract	Deposition of sediment is a vital economical and technical problem for design of sewers, urban drainage, irrigation channels and, in general, rigid boundary channels. In order to confine continuous sediment deposition, rigid boundary channels are designed
dc.language.iso	English
dc.publisher	Water Science and Technology
dc.title	Sediment transport modeling in open channels using neuro-fuzzy and gene expression programming techniques
dc.type	Article
dc.relation.firstpage	2318
dc.relation.lastpage	2327
dc.relation.volume	79
dc.relation.issue	12
dc.description.affiliations	Department of Civil Engineering, Urmia University, Urmia, Iran; Department of Civil Engineering, Yaşar University, Izmir, Turkey; Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran

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