Author/Authors :
Ceribasi Gokmen نويسنده Assistant Professor in the Department of Technology Faculty at Sakarya University. , Dogan Emrah نويسنده Associate Professor in the Department of Civil Engineering in Sakarya University. , Akkaya Ugur نويسنده Lecturer in the Department of Architecture and urban planning in Abant Izzet Baysal University. , Kocamaz Ugur Erkin نويسنده Lecturer in the Department of Computer Programming at Uludag University
Abstract :
Various artificial intelligence techniques are used in order to make prospective
estimations with available data. The most common and applied method among these artificial
intelligence techniques is Artificial Neural Networks (ANN). On the other hand, another method
which is used in order to make prospective estimations with available data is Trend Analysis. Vhen
the relation of these two methods is analyzed, Artificial Neural Networks method can present the
prospective estimation numerically, while there is no such a case in Trend Analysis. Trend Analysis
method presents result of prospective estimation as a decrease or increase in data. Therefore, it
is quite important to make a comparison between these methods which brings about prospective
estimation with the available data, because these two methods are used in most of these studies. In
this study, annual average stream flow and suspended load measured in Sakarya River along with
average annual rainfall trend were analyzed with trend analysis method. Daily, weekly, and monthly
average stream flows and suspended loads measured in Sakarya River and average daily, weekly, and
monthly rainfall data of Sakarya were all analyzed by ANN
Model. Results of trend analysis method and ANN model were compared.