Intelligent football teaching based on virtual simulation and robust similarity measurement algorithm

Abstract

Abstract The computer virtual simulation teaching system is an integrated computer teaching system that uses network technology and virtual reality technology to simulate real-world experiments. The system is a computer laboratory used for teaching. Through the virtual simulation teaching system, the advantages of network teaching can be combined, and it has the characteristics of fast construction speed, low teaching cost, and overcoming various limitations and challenges. The current robust similarity measurement algorithm is based on a similarity measurement, which corresponds to tracking the appearance and alignment of the twin network search graphs. The sample target expression is constructed based on the data in the first structure, and then the target sample and test pattern are calculated through the active analogy of the measurement algorithm. Choose the most suitable location for the target result to set the test result. The use of integrated teaching technology in football sports technology is significantly better than traditional teaching methods. Comprehensive teaching can not only show detailed technical activities, but also expand students' learning space and time, which is essential for improving the level of professional football. According to the online application system for intelligent teaching, all system operations are performed in collaboration with the user's browser and application server, and the database system organizes and protects data related to the system. According to the network connection, the service will be used for intelligent teaching.