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dc.contributor.authorTayfur, Gökmen
dc.contributor.authorSingh, Vijay P.
dc.date.accessioned2016-11-01T08:38:48Z
dc.date.available2016-11-01T08:38:48Z
dc.date.issued2008-09
dc.identifier.citationTayfur, G., and Singh, V. P. (2008). Closure to "ANN and fuzzy logic models for simulating event-based rainfall-runoff" by Gokmen Tayfur and Vijay P. Singh. Journal of Hydraulic Engineering, 134(9), 1400-1401. doi:10.1061/(ASCE)0733-9429(2008)134:9(1400.2)en_US
dc.identifier.issn0733-9429
dc.identifier.urihttp://doi.org/10.1061/(ASCE)0733-9429(2008)134:9(1400.2)
dc.identifier.urihttp://hdl.handle.net/11147/2358
dc.description.abstractWe would like to thank Dr. Wong for his interest in and thoughts on our analysis of runoff hydrograph prediction and the goodnessof-fit measurement. We agree that visual comparison of simulated and measured hydrographs is an important indicator for assessing the performance of models. Visual inspection allows one to see intricate differences between hydrographs.en_US
dc.language.isoengen_US
dc.publisherAmerican Society of Civil Engineersen_US
dc.relation.isversionof10.1061/(ASCE)0733-9429(2008)134:9(1400.2)en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFuzzy setsen_US
dc.subjectKinematic wave theoryen_US
dc.subjectNeural networksen_US
dc.subjectRainfallen_US
dc.titleClosure to "ANN and fuzzy logic models for simulating event-based rainfall-runoff" by Gokmen Tayfur and Vijay P. Singhen_US
dc.typeannotationen_US
dc.contributor.authorIDTR2054en_US
dc.contributor.iztechauthorTayfur, Gökmen
dc.relation.journalJournal of Hydraulic Engineeringen_US
dc.contributor.departmentIzmir Institute of Technology. Civil Engineeringen_US
dc.identifier.volume134en_US
dc.identifier.issue9en_US
dc.identifier.startpage1400en_US
dc.identifier.endpage1401en_US
dc.identifier.scopusSCOPUS:2-s2.0-50049084656
dc.relation.publicationcategoryDiğeren_US


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