Research on Predicting the Muzzle Velocity of Gun Based on Neural Networks

The muzzle velocity of a gun directly determines its range and firing accuracy. In the process of interior ballistic design of gun, the method of adjusting the loading parameters to achieve the predetermined muzzle velocity is usually adopted. The loading parameters of the gun form a complex nonlinear relationship with the muzzle velocity. In order to solve the practical problem of the effect of loading parameters on the muzzle velocity of gun, a gun muzzle velocity prediction model based on BP neural network model was established. 60 groups of experimental data were selected for training and testing of the model. The results showed that the BP neural network model has high prediction accuracy and is suitable for predicting the muzzle velocity of gun.