Pan Evaporation Estimation Using Artificial Neural Network

dc.contributor.authorYarar A.
dc.date.accessioned2020-03-26T20:11:49Z
dc.date.available2020-03-26T20:11:49Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description2018 International Conference on Advances in Computing and Communication Engineering, ICACCE 2018 -- 22 June 2018 through 23 June 2018 -- 138934en_US
dc.description.abstractArtificial Neural Network (ANN) model's performance was investigated on evaporation estimation at GÕolbasI region. For this aim monthly mean temperature, monthly total rainfall and monthly mean evaporation data of Golbaöl were used. 213 data set were used for the modeling. 150 of all data set were selected for training and other 63 data set were selected for testing. The performance of the ANN model was evaluated according to the graphs and R2 value. It was seen that the coefficient of determination, between measured and estimation, is around 0.89. This modeling study showed that ANN is usable method in estimation of evaporation at Golbasl. © 2018 IEEE.en_US
dc.identifier.doi10.1109/ICACCE.2018.8441753en_US
dc.identifier.endpage10en_US
dc.identifier.isbn9.78154E+12
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage8en_US
dc.identifier.urihttps://dx.doi.org/10.1109/ICACCE.2018.8441753
dc.identifier.urihttps://hdl.handle.net/20.500.12395/37225
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings on 2018 International Conference on Advances in Computing and Communication Engineering, ICACCE 2018en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectArtificial Neural Networksen_US
dc.subjectGÖlbasen_US
dc.subjectPan Evaporationen_US
dc.titlePan Evaporation Estimation Using Artificial Neural Networken_US
dc.typeConference Objecten_US

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