SVM-Based Prediction of Liu Xiang’s Achievements in 110 m Hurdle
Bin Long · Journal of Tianjin University Science and Technology · 2009
The prediction of Liu Xiang’s achievements can provide the theoretical reference for the training of Liu Xiang,as well as the other hurdle athletes.A new prediction approach for Liu Xiang’s achievements is put forward by means of Least Squares Support Vector Machine(LS-SVM).59 achievements of Liu Xiang from year 2000 to 2007 were collected and construct the total data set.Achievements in the first 5 times were used to predict the achievement in the 6th times.The first 54 achievements were applied to build LS-SVM model for special achievements prediction,then,the prediction is conducted using achievements of last five times.The results showed that LS-SVM prediction method was a promising tool.