关键词: 深度学习, 任务识别, 空中任务, 方法研究

Abstract: In the large-scale simulation of war game, the air mission is the focus of the commander's attention. The rapid, accurate and automatic recognition of air missions is the prerequisite and basis for intelligent decision making. The rapid development of deep learning technology provided a practical and feasible solution for the extraction of complex battlefield posture features, and provided technical support for studying air mission recognition. The research progress of the traditional mission recognition research method and the mission recognition method based on the deep learning was summarized. The three methods of deep learning of Convolution Neural Network (CNN), Long-short Term Memory Network (LSTM) and Generate Adversarial Network (GAN) air mission recognition problem in the application were discussed, putting forward the solution ideas.

Key words: deep learning, mission recognition, air mission, method research