Modellling of rainfall runoff relation with artificial neural network methods for Seyhan basin
2012
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Danışman: Yrd. Doç. Dr. Hatice Çağatay
Özet (EN)
It is very important to obtain reliable estimation and modelling of runoff in planning and designing of water resources. The current study aims to model rainfall-runoff relation using Artificial Neural Networks (ANN). In this study, MATLAB R2008a was used as a modelling tool. Seyhan Basin was selected for application. Previous rainfall-runoff observations were used in estimation of runoff. In this study, ANN method of the Feed Forward Back Propagation Neural Network (FFBPNN) was adopted and results were compared with those of Multi Linear Regression (MLR) method. In conclusion, FFBPNN method provides better results than results of MLR method.
Yazar
Evren Turhan
Bu Yayına Nasıl Atıf Yapılır
Evren Turhan (Master Thesis). Modellling of rainfall runoff relation with artificial neural network methods for Seyhan basin, 2012, Çukurova University.
Anahtar Kelimeler
Lisans
Tüm Hakları Saklıdır
Bu eser belirtilen lisans koşulları altında paylaşılmaktadır.
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