Author/Authors
Terzi, Özlem Suleyman Demirel University - Technical Education Faculty - Construction Education Department, Turkey , Çevik, Eda Suleyman Demirel University - Technical Education Faculty - Construction Education Department, Turkey
Title Of Article
RAINFALL ESTIMATION USING ARTIFICIAL NEURAL NETWORK METHOD
شماره ركورد
35764
Abstract
In this study, artificial neural network (ANN) models were developed to estimate monthly total rainfall (RMT) for Isparta. The rainfall data from Senirkent, Uluborlu, Eğirdir, Yalvaç and Isparta stations in Isparta, operated by the Turkish State Meteorological Service were used to estimate RMT. Also, multiple linear regression (MLR) models were developed using the same input parameters for rainfall estimation. The results of ANN and MLR models were compared with measured rainfall values to evaluate performance of the developed models. The comparisons showed that there was a good agreement between the ANN estimations and measured rainfall values.
From Page
10
NaturalLanguageKeyword
Rainfall , Artificial Neural Networks , Multi Linear Regression , Isparta
JournalTitle
Sdu International Technologic Science
To Page
19
JournalTitle
Sdu International Technologic Science
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