数据挖掘在体育训练指导中的应用研究

Research on the Application of Data Mining in the Guidance of Sports Training

数据挖掘是利用机器学习、统计学习从数据中发现潜在规律的技术。针对目前体育训练中存在的一些问题,讨论了数据挖掘技术在体育训练中的应用原理,并通过关键神经网络方法来对运动员的成绩进行了预测的应用。实验数据表明使用神经网络对运动成绩的预测具有很好的逼近能力,而且有良好推广性,这表明使用相关的数据挖掘技术对指导体育训练的科学性增加,将会有广阔的应用空间。

Data mining is the techniques of finding the potential law from the data by machine learning and statistical learning. This paper focuses on a number of problems existed in the current sports training, discusses the application principle of the data mining technology in sports training, and applies the critical neural networks for forecasting the performances of the athletes. Experimental data show that prediction of athletic performance by the use of neural network has very good approximation ability. It shows a broad application space of the use of data mining technology.