An improved Grey prediction model and the application in college sports information management system
Ziya Wang1, Ran Li2
1Department of Physical Education, Anhui Jianzhu University, Hefei, Anhui, China
2School of Management, Anhui Jianzhu University, Hefei, Anhui, China
The sports elective course is an important means for college students to exercise their physical education and quality education. Because the students can choose the elective courses voluntarily online, teachers and colleges cannot learn the number of the students who choose the sports elective courses before the deadline. In this paper, we propose an improved GM (1, 1) prediction model to forecast the number of the students who take part in the sports elective courses and apply this model in the college sports information management system. Firstly, this paper puts forward the Grey prediction model with time parameter. Then, this paper studies the constructing mechanism and the modelling characteristics of this model. At last, we use the improved GM (1, 1) model to forecast the number of students who select the college sports elective courses in college sports information management system. High precision of the fitting and forecasting are obtained in the experiment while the result verifies the validity of the model.