JSTE_V5_N3_RP1 Mohsen Azimi Mingli Li Journal on Structural Engineering 2320 - 2343 5 3 1 6 Artificial Neural Network (ANN), Data-Driven Model, Sensitivity Analysis, Displacement An earthquake is one of the most important natural disasters that has undeniable impacts on both structures and humans. For the purpose of estimating the damage in the structure, drift of stories is one of the factors that needs to be paid attention to. In this research, a Reinforced Concrete (RC) frame with a shear wall and consisting of 4 stories and 4 bays is selected for this purpose. The total of 300 data of 6 input elements and one output parameter is used herein. In order to approximate the displacement in the reinforcement concrete building, the artificial neural network model is used. In addition, in order to determine the effect of each individual parameter on the accuracy of the results, sensitivity analysis is performed on the dataset. The findings in this study would provide engineering to design ANN-based tools for the purpose of estimation of the displacement in RC frame buildings with high accuracy. September - November 2016 Copyright © 2016 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=8250