Açık Akademik Arşiv Sistemi

Modelling of evaporation from the reservoir of Yuvacik dam using adaptive neuro-fuzzy inference systems

Show simple item record

dc.contributor.authors Dogan, E; Gumrukcuoglu, M; Sandalci, M; Opan, M;
dc.date.accessioned 2020-02-26T08:58:01Z
dc.date.available 2020-02-26T08:58:01Z
dc.date.issued 2010
dc.identifier.citation Dogan, E; Gumrukcuoglu, M; Sandalci, M; Opan, M; (2010). Modelling of evaporation from the reservoir of Yuvacik dam using adaptive neuro-fuzzy inference systems. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 23, 967-961
dc.identifier.issn 0952-1976
dc.identifier.uri https://doi.org/10.1016/j.engappai.2010.03.007
dc.identifier.uri https://hdl.handle.net/20.500.12619/50341
dc.description.abstract Adaptive neuro-fuzzy inference system (ANFIS) models are proposed as an alternative approach of evaporation estimation for Yuvacik Dam. This study has three objectives: (1) to develop ANFIS models to estimate daily pan evaporation from measured meteorological data; (2) to compare the ANFIS model to the multiple linear regression (MLR) model; and (3) to evaluate the potential of ANFIS model. Various combinations of daily meteorological data, namely air temperature, relative humidity, solar radiation and wind speed, are used as inputs to the ANFIS so as to evaluate the degree of effect of each of these variables on daily pan evaporation. The results of the ANFIS model are compared with MLR model. Mean square error, average absolute relative error and coefficient of determination statistics are used as comparison criteria for the evaluation of the model performances. The ANFIS technique whose inputs are solar radiation, air temperature, relative humidity and wind speed, gives mean square errors of 0.181 mm, average absolute relative errors of 9.590% mm, and determination coefficient of 0.958 for Yuvacik Dam station, respectively. Based on the comparisons, it was found that the ANFIS technique could be employed successfully in modelling evaporation process from the available climatic data. (C) 2010 Elsevier Ltd. All rights reserved.
dc.language English
dc.publisher PERGAMON-ELSEVIER SCIENCE LTD
dc.subject Engineering
dc.title Modelling of evaporation from the reservoir of Yuvacik dam using adaptive neuro-fuzzy inference systems
dc.type Article
dc.identifier.volume 23
dc.identifier.startpage 961
dc.identifier.endpage 967
dc.contributor.department Sakarya Üniversitesi/Mühendislik Fakültesi/İnşaat Mühendisliği Bölümü
dc.contributor.saüauthor Doğan, Emrah
dc.contributor.saüauthor Gümrükçüoğlu Yiğit, Mahnaz
dc.contributor.saüauthor Sandalcı, Mehmet
dc.relation.journal ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
dc.identifier.wos WOS:000280258100010
dc.identifier.doi 10.1016/j.engappai.2010.03.007
dc.contributor.author Doğan, Emrah
dc.contributor.author Gümrükçüoğlu Yiğit, Mahnaz
dc.contributor.author Sandalcı, Mehmet


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record