Identification and compensation of strategic missile guidance system error model based on the BP neural network

The error model of guidance system was established and inducted to nonlinear regression model in the paper. Based on the improved algorithm, the back-propagation neural network is applied to identify guidance system error model. The simulating data are used in the training of the neural network. The trained network should be used for the actual test data and error compensation. As a result, this method can improve the shooting accuracy of the missile.