Summary of Data Mining and Analysis of Launch Vehicle Test Based on Small Sample Learning Method

The data generated by the launch vehicle test launch system has the characteristics of big data and small samples. Using small sample learning to start from a small amount of faulty data, and learning and processing sample data through data enhancement and metric learning strategies can greatly improve the effect of data mining. In view of the current situation that the deep learning method in the launch vehicle test system has not been used on a large scale, the characteristics of the data generated by the launch vehicle test launch are analyzed, and the method of small sample learning based on the deep neural network is combined with the data analysis of the launch vehicle test. And expounded the potential value and significance of this method to the development of launch vehicle test system.