عنوان مقاله [English]
This paper shows concurrent application of The Artificial Neural Network (ANN) model with Fourier Series ARIMA Model (FSAM).The FSAM model represent spectral analysis of precipitation of Barandooz river basin in west of Lake Urmia for simulation of river flow. Neural network are applied for simulation and forecasting of Barandooz river based on FSAM forecasts in the absence of precipitation data. Because temperature is one of the independent variables in the simulation model, generation of temperature data was carried out by twelve MLP Neural networks, one for each month. The analysis and results are presented in this paper.