dc.contributor.author | Aydin, M. Cihan | |
dc.contributor.author | Kayisli, Korhan | |
dc.date.accessioned | 2021-12-16T09:07:41Z | |
dc.date.available | 2021-12-16T09:07:41Z | |
dc.date.issued | 2016 | |
dc.identifier.issn | 0733-9437 | |
dc.identifier.uri | https://doi.org/10.1061/(ASCE)IR.1943-4774.0001006 | |
dc.identifier.uri | http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10474 | |
dc.description.abstract | Physical and mathematical models widely used in hydraulic engineering are not always effective in practice. Numerical methods such as the adaptive neuro fuzzy inference system (ANFIS) can be quite useful for estimating the key parameters, especially for c | |
dc.description.sponsorship | Scientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) | |
dc.language.iso | English | |
dc.publisher | Asce-Amer Soc Cıvıl Engıneers | |
dc.source | Journal Of Irrıgatıon And Draınage Engıneerıng | |
dc.title | Prediction of Discharge Capacity over Two-Cycle Labyrinth Side Weir Using ANFIS | |
dc.type | Article | |
dc.identifier.issue | 5 | |
dc.identifier.doi | 10.1061/(ASCE)IR.1943-4774.0001006 | |
dc.identifier.wos | WOS:000374758000007 | |
dc.identifier.volume | 142 | |