Regarding meeting the task requirement of rapid missile launch,a fast firing data solving meth-od based on neural network is proposed.Firstly,the mapping relationship among terminal velocity,alti-tude,velocity inclination and firing data is established,and the LM optimization neural network model is derived.Then,based on Bayesian regularization theory,the BP neural network structure is designed,and the optimized network structure which can meet the accuracy requirements is obtained.Finally,Newton iter-ation method is used to generate the database as training set which is used to train the neural network,so that the network model with optimized parameters is obtained,and the simulation is implemented.The theo-retical and simulation results show that the rapid calculation of the firing data before shooting can be a-chieved by applying this method.
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