The Evaluation of Intelligent Model to Estimate Mordagh Chay River Flow in Maragheh

River flow estimation in every region is one of the fundamental and important issues in agricultural planning and also in the water resources management. Therefore presenting a suitable strategy is more beneficial to accurate estimation of rivers flow rate. The purpose of this research is to evaluate the capability of the intelligent models such as Gene Expression Programming, Artificial Neural Network and Nero-Fuzzy Inference Systems in order to estimate the flow rate in Mordagh Chay River. Three different methods are used to estimate the flow rate in these models, the flow rate data of the previous daily flow and the mixture of each of these states with one to five days of delay period in daily scale. Totally 45 kinds of different data were applied and the estimation was conducted. Mordagh Chay River basin has been located on Eastern Azerbaijan Province. The findings were compared with the observed data by coefficient of determination and the root mean square errors criteria. With regard to the results obtained from the models all of the three methods were of acceptable accuracy. Finally the adoptive Nero- fuzzy inference systems model was chosen for the highest precision and was recommended to be useful in this basin.