The maximum ship bridge impact force and its relationship with influencing factors are of great significance for the reduction of the harm to the personal security and safety of their belongings caused by ship bridge collision. The finite element model of the ship bridge collision has been established by using ANSYS/LS-DYNA to calculate the ship bridge impact force under different impact velocities and impact angles. And the calculated results are compared with those from the rules of various countries. A model for the prediction of the maximum ship bridge impact force is then established under three training parameters of the maximum impact force value, impact angle and impact velocity by using the Back Propagation (BP) neural network technology together with the simulation data. Finally, an empirical formula of the relationship between the maximum impact force and the impact velocity and impact angle is fitted by analyzing the scatter diagram of the impact velocity and the impact angle. And the results of the empirical formula are compared with the finite element simulation results and the neural network prediction results to validate the accuracy of the empirical formula. It provides a rapid method for evaluating whether the ship bridge collision will have catastrophic consequences.