Application of Soft Computing Techniques for Particle Froude Number Estimation in Sewer Pipes

dc.contributor.author	Mehr, A.D.
dc.contributor.author	Safari, M.J.S.
dc.date.accessioned	2021-01-25T19:32:37Z
dc.date.available	2021-01-25T19:32:37Z
dc.date.issued	2020
dc.identifier	10.1061/(ASCE)PS.1949-1204.0000449
dc.identifier.issn	1949-1190
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7288
dc.description.abstract	Sedimentation in sewer networks is a major problem in urban hydrology. In comparison to the well-known classic sediment transport models, this study investigates the capabilities of soft computing methods, including multigene genetic programming (MGGP), g
dc.language.iso	English
dc.publisher	ASCE-AMER SOC CIVIL ENGINEERS
dc.title	Application of Soft Computing Techniques for Particle Froude Number Estimation in Sewer Pipes
dc.type	Article
dc.relation.volume	11
dc.relation.issue	2
dc.description.woscategory	Engineering, Civil; Water Resources
dc.description.wosresearcharea	Engineering; Water Resources
dc.identifier.wosid	WOS:000521205500018

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