Abstarct: The earthquake is one of the dangers that have caused many casualties and financial losses throughout the world over the years. This has been the reason why the earthquake hazard analysis studies should be studied more seriously. Iran is also located in one of the seismic regions of the world, the Himalayan- Alpine strip, which experiences many earthquakes every year. The Arias intensity function, as one of the important parameters of the powerful land movement, contributes greatly to the analysis of seismic hazard, which can be used to estimate the stability of gradients in the earthquake. The purpose of this research is to present the attenuation relationship for Arias intensity function in the Iranian plateau using intelligent methods. In this research, 1012 accelerated data were used. Initially, the data required to be filtered were corrected and then all data was analyzed. In this study, parameters such as magnitude of earthquake, focal length, shear wave velocity and geographic position of the area were used as a variable for attenuation relationship as the desired function. Moment magnitude (Mw) was used as earthquake magnitude and magnitudes of above 4 were used in this research. In the parameter, the geographic location of Iran was divided into two regions of Central Alborz and the Zagros region. Gene exxpression Programming (GEP), a kind of intelligent algorithm, was used as a method for regression and calculation of the objective function. The advantage of this method is that at first the model for the objective function is not specified and the model is presented optimally by the intelligent method. The fitness function is also defined baxsed on the root least squared error (RMSE). Finally, the reduction relation baxsed on this fitness function was calculated and the observed results were compared with the results of other researchers.