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- Title
Sports Performance Prediction Based on Variable Weight Support Vector Machine.
- Authors
Kuifeng GAO
- Abstract
In this paper we consider the application of grey model to solve more effectively and accurately problems which are difficult to solve by traditional statistical methods, such as competitive sports performance prediction problems with 'poor information', 'small sample' and underlying 'dynamics'. However, the application of grey model here also has many problems, and traditional GM (1, 1) model cannot reach the corresponding precision in the prediction of many applications. We therefore further consider in this paper the application of GM (1, 1) grey model based on residual correction in competitive sports. We do this by taking the annual best performances of World Men's 200 Meters from 2003 to 2013 as samples, where the prediction precision reaches the first-class precision and prediction modeling for best performance of World Men's 200 Meters in 2014. Our results show the prediction performance obtained is 20.59 seconds, which shows good agreement with actual figures.
- Subjects
DATA mining; FORECASTING
- Publication
International Journal of Simulation: Systems, Science & Technology, 2016, Vol 17, Issue 40, p1
- ISSN
1473-8031
- Publication type
Article
- DOI
10.5013/IJSSST.a.17.40.21