摘要：In this paper, a design optim.zation for the reinforced concrete plane fram. structure has been done in order to m.nim.ze the cost of the concrete and steel for beam. and colum.s by adopting the Artificial Neural Network (ANN) com.utational m.del trough the NeuroShell-2 software program. The design procedure conform. to the ACI-318-08 Code. The variables used for design optim.zation are the width, depth and the area of reinforced steel, including longitudinal reinforcem.nt and shear reinforcem.nt. A three-bay two-story RC fram. is m.deled with selecting different span length and different load cases. Acceptable design results are obtained from.m.re than 50 exam.les which are subjected to all the constraints of the ACI Code, using different cross-section sizes and these results are used to train the NeuroShell-2 program. The results obtained dem.nstrate the efficiency of the ANN procedure for the m.lti story RC fram. design.