Engineering Sciences

Engineering Sciences

YA?I?-AKI? YLY?KYSYNYN MODELLENMESYNDE YSA KULLANIMININ DE?ERLENDYRYLMESY: ORTA FIRAT HAVZASI UYGULAMASI

Yazarlar: Veysel GÜMÜŞ, Mehmet Eyyup Kavsut, Kasım Yenigün

Cilt 6 , Sayı 1 , 2011 , Sayfalar 389 - 397

Konular:-

DOI:10.12739/nwsaes.v6i1.5000067041

Anahtar Kelimeler:ARTYFICAL NEURAL NETWORK,RAINFALL-RUNOF,MIDDLE PART OF EUPHRATES BASIN,MULTI LINEAR REGRESSION,FLOW ESTIMATION

Özet: Artificial intelligence methods such as Artificial Neural Network (ANN), Genetic Algorithm (GA) and Fuzzy Logic (FL) provide prosperous results have recently been used in the modelling of rainfall-flow relations and they are becoming more popular in hydraulic engineering practices. In this paper the relations between the average monthly flow data from the flow observation station numbered as 2122 and the monthly total rainfall data from the rainfall observation station numbered as 17099 located in the central Euphrates river basin are investigated by using the feed-forward back-propagation neural network (FFBPNN) method from ANN solutions and afterwards the results are compared using Multi linear Regression (MLR) method. New flow values are estimated by this procedure that uses the flow and rainfall data as input. This paper concludes that FFBPNN method provides better results compared to the results from MLR method.

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@article{2011, title={YA?I?-AKI? YLY?KYSYNYN MODELLENMESYNDE YSA KULLANIMININ DE?ERLENDYRYLMESY: ORTA FIRAT HAVZASI UYGULAMASI}, volume={6}, number={389–397}, publisher={Engineering Sciences}, author={Veysel GÜMÜŞ,Mehmet Eyyup Kavsut,Kasım Yenigün}, year={2011} }
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Veysel GÜMÜŞ,Mehmet Eyyup Kavsut,Kasım Yenigün. (2011). YA?I?-AKI? YLY?KYSYNYN MODELLENMESYNDE YSA KULLANIMININ DE?ERLENDYRYLMESY: ORTA FIRAT HAVZASI UYGULAMASI (Vol. 6). Vol. 6. Engineering Sciences.
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Veysel GÜMÜŞ,Mehmet Eyyup Kavsut,Kasım Yenigün. YA?I?-AKI? YLY?KYSYNYN MODELLENMESYNDE YSA KULLANIMININ DE?ERLENDYRYLMESY: ORTA FIRAT HAVZASI UYGULAMASI. no. 389–397, Engineering Sciences, 2011.
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