ANALITICAL AND ARTIFICIAL NEURAL NETWORK MODELS OF DISCHARGE VALUE PASSING OVER OGEE SPILLWAY

Bu çalışmada Ogee tipi bağlamalar üzerinden geçen debilerin analitik ve yapay sinir ağları model sonuçları karşılaştırılmıştır. Bunun için 7.5 cm genişliğinde, 15 cm yüksekliğinde ve 5 m uzunluğunda bir açık kanal düzeneği kullanılmıştır. Kullanılan düzenekte farklı savak yükleri geçmesi durumunda debiler ölçülmüş ve bu debiler formül kullanılarak da hesaplanmıştır. Ayrıca deneyden elde edilen sonuçlar ile yapay sinir ağları modeli kurularak debiler tahmin edilmiş ve modelin performansı araştırılmıştır. Elde edilen sonuçlara göre yapay sinir ağları modeli oldukça tatmin edici sonuçlar vermiştir

Ogee Tipi Dolusavakların Üzerinden Geçen Akım Verilerinin Analitik ve Yapay Sinir Ağları Modelleri

In this study, analytical and Artificial Neural Network (ANN) models’ output of the discharge value, passing over Ogee Spillways, were compared. For this aim, a flume having 7.5 cm width, 15 cm depth and 5 m length, was used in the laboratory. Discharge values above the spillway were measured for different heads. Discharge values were also computed by the formula for the measured heads. An ANN model was set by using the experimental results in order to estimate the discharge value. So, the performance of the ANN model was investigated. As the result, it was seen that ANN model produced very successful output

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