Research on Digital Simulation Method of Ballistic End Points Based on Historical Data

In the process of filed test, a large number of test data are obtained, such as the data from internal trajectory, intermediate trajectory and ballistic end point of projectile. However, the emplacement data and the terminal ballistic end-point test data are less used each other although these data are interrelated in theory. For historical data, a digital deduction model of ballistic end point is established by using artificial intelligence algorithms such as deep learning and machine learning. This model can deduce the ballistic end-point test results, so as to realize the combination of digital signing and physical test, and provide theoretical support for the digital simulation of the same type of artillery prime mover and ammunition test.