Model of Appraising Firepower-might of Tank-gun Based on Back-Propagation Network
Hou Sheng-gao · Command Control & Simulation · 2009
This paper proposes a new way to analyze the main function index of different Tank-guns,and applies the theories and methods of BP Neural Network to solve the problem of appraising Firepower-might of Tank-gun.The model of appraising Firepower-might of Tank-gun is established and based on Back-Propagation Network,the original data is dealt with Return a turn,and the model is exercised using the three date.By the GUI in Nerve Network Tool boxes in MATLAB6.5,the indexes and samples of valuation are trained and simulated,and the results are compared.Results indicate that the model of Back-Propagation Network can solve the no-linearity relations between the indexes and the results.It can be simple and credible to evaluate the Firepower-might of Tank-gun and it is impersonal.The research outcome can provide the theory preference for developing and researching Tank-guns of new level.