CNN Model Based on Attention Mechanism and Its Application in Time Series Data

The realization of intelligent air combat process is a hot research direction of military powers at present. Flight action recognition is also the basis of many key technologies to realize intelligent air combat. Therefore, according to the flight action characteristics of military aircraft, it will be a very valuable work to realize an automatic flight action recognition model based on flight parameter data. In this paper, the CNN model with attention mechanism is used for flight action recognition. The real data generated in the training process are used to experiment the established model, and the output results show that, The model has high accuracy for flight action recognition.