Application of data mining technology based on improved neural network algorithm in sports performance prediction

Improved neural network algorithm is a subject involved in many fields at the same time. It is an important research direction in the modern popular artificial intelligence industry. Nowadays, it has been deeply loved by people, and it is also a category with the fastest development in the computer industry group. Therefore, this paper starts with the improvement of neural network algorithm, changes its local defects, and introduces the calculation form of firefly algorithm to optimize the calculation of improved neural network algorithm. In addition, combined with the form of data mining, the upgraded prediction model is established, and the relationship between physical education teaching methods and grades is predicted. The conclusions of this algorithm and model are successfully applied to future teaching. The results show that there is a positive correlation between physical education teaching methods and grades. Different teaching methods affect the change of grades. According to the trend of curve change, analyze the change process of grades, so as to understand students' learning status and adjust physical education teaching methods in time. This research makes the improved neural network algorithm have new research results in physical education and even in many fields of education. On the basis of this research, the mining form of educational data has been fully developed in the field of teaching, and its application in the future is also very broad.