Sports Training Decision Support System and Realization Based on Data Mining and BP Neural Network

With the massive increase of sports information, the complexity of sports decision-making has also increased, and sports decision-making has become more difficult. And the establishment of sports training(ST) decision support system(DSS) can provide some new ideas and approaches for solving these problems. In this paper, Microsoft SQL Sever2000 is used as the system decision support tool, and data mining(DM) technology is used to build the system data warehouse. In the sports athlete evaluation system, the BP neural network(BPNN) is also used to predict the students’ performance. In the process of system implementation, the mining model can be realized by Microsoft SQL Sever2000. The user interface can be realized through Borland Delphi7, and the decision-making content can also be analyzed by using DM technology. In conclusion, the system designed in this paper can help decision makers manage sports information and formulate scientific training plans according to athletes’ training situations.