A combination of genetic algorithm and neural network techniques are used. Modeling the genetic-neural network interpolation was carried out in order to achieve the interpolation for complex surface parts. The model was combined of neural nonlinear mapping ability and genetic algorithm fast convergence learning ability and other properties.An experimental analysis is carried out to verify feasible of genetic-neural network numerical control(NC) interpolation,this method can improve the accuracy and speed of complex surface parts interpolation.