An alternative approach to model the mechanical behavior of steel frames when exposed to fire at high temperatures is presented in this work. The concept is based on a series of stress-strain curves obtained experimentally at various temperature levels. An artificial neural network (ANN) is employed to predict the stress-strain curve under such condition. The numerical results obtained from ANNs of stress levels for the material were compared with the experimental data. A New model for reduction factor is introduced and compared with other models. Using ANN was found to be an efficient tool for modeling the material properties of steel frames for high temperature applications.