A cold launch missile water gesture law of motion is difficult to describe the role of various factors. This problem is solved by the neural network model and algorithm training through aspects of neural networks' structure, learning arithmetic steps and calculation steps. The simulation results show that the model expediently predicts the accute data. This has great value in the water segment of the trajectory calculation, submarines manipulation, and enactment of the launch conditions.