论文信息 - An improved Grey prediction model and the application in college sports information management system

An improved Grey prediction model and the application in college sports information management system

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.

Ran Li | Ziya Wang

[1] Qi-jie Wang,et al. Hybrid grey model to forecast monitoring series with seasonality , 2005 .

[2] R. Bagley,et al. On the Appearance of the Fractional Derivative in the Behavior of Real Materials , 1984 .

[3] Fang-Mei Tseng,et al. Applied Hybrid Grey Model to Forecast Seasonal Time Series , 2001 .

[4] Xinping Xiao,et al. A GM(1,1) Control Model with Pure Generalized AGO Based on Matrix Analysis , 2006 .

[5] Deng Ju-Long,et al. Control problems of grey systems , 1982 .

[6] J. Deng,et al. Introduction to Grey system theory , 1989 .

[7] Andreas Holzman. Grey Information Theory And Practical Applications , 2016 .

[8] D. Matignon. Stability results for fractional differential equations with applications to control processing , 1996 .

[9] Dang Yao-guo. GM(1,1) model based on oscillation sequences , 2009 .

[10] 朱建军,et al. Hybrid grey model to forecast monitoring series with seasonality , 2005 .

[11] Guan Ye-qing. On the Strengthening Buffer Operators , 2005 .

[12] Xiao Xinping. Study on generalization for GM(1,1) model and its application , 2009 .

[13] Tang Xue-wen,et al. Study on the Buffer Weakening Operator , 2004 .

[14] Tan Guan-jun,et al. The Structure Method and Application of Background Value in Grey System GM(1,1) Model (II) , 2000 .