基于BP神经网络的高水平女子100m栏专项成绩预测模型

Specific Performance Forecasting Model of Elite Female 100 m Hurdlers Based on BP Neural Network

运用Matlab仿真分析平台,采用人工神经网络函数映射方法,根据我国100m栏运动员刘静1995—1998年的专项素质数值,构建并选用合适的BP神经网络建立女子100m栏运动员专项成绩预测模型。计算结果表明,该模型预测精度高,且其拓展应用可为女子100m栏运动员科学训练提供重要理论指导。

Accurate performance prediction is the theoretical basis to achieve scientific sports training and it has important practical value.Based on Matlab platform,a specific performance forecasting model of female 100m hurdlers was established using the mapping function of the artificial network for motion performance based on the dataset of LIU Jing（1995-1998）,who is an athlete of 100m hurdling in China.The computation result shows that the BP model has good quality on prediction in 100m hurdlers＇ specific performance.And its further application can provide valuable references for the scientific training.