Abstract: The displacement ductility factor of SRHSC frame columns was studied by the experimental results of 80 C60—C80 column specimens subjected to a constant axial load and cyclic lateral loads． A 4-6-1 BP neural network model was built by using artificial neural network theory based on MATLAB． Furthermore，the influence law and influence mechanism of concrete strength，axial compression ratio，stirrup ratio，shear span ratio on the displacement ductility were investigated by the BP neural network model． The displacement ductility factor calculation model was built based on the influence law of every influencing factor on the displacement ductility． The displacement ductility factor empirical formula considering multiple influencing factors was proposed through multi-variant nonlinear regression analysis on the experimental data and network predicted data，which provided reference for seismic and optimal design for SRHSC frame columns．