Target Priority Estimation Based on Convolutional Neural Networks

In order to improve the accuracy of air target priority estimation, a target priority evaluation method based on convolutional neural network is proposed. The convolutional neural network predictor, convolutional neural network prediction model and convolutional neural network prediction algorithm are introduced respectively. 900 sets of data are used as the training set, and 10 sets of data are used as the test set. The network model is verified by the 10 sets of data. The results show that the method can effectively complete the air target priority estimation. The method proposed in this paper is better than several existing methods.