To enhance athletes'competitive performance,it is essential to accurately gauge their anxiety levels and adjust their mental state accordingly.A hierarchical clustering algorithm has been employed to pinpoint sources of stress among track and field athletes,and an athlete anxiety analysis model based on the RBF(Radial Basis Function)model has been developed.This model captures the characteristics of various anxiety states through hidden unit centers,function widths,and connection weights.Testing has demonstrated that this model is both highly accurate and efficient,enabling precise classification and identification of different anxiety states.This provides a robust foundation for making informed decisions on managing the stress experienced by track and field athletes.
关键词
层次分析法/压力/焦虑/田径运动员
Key words
analytic hierarchy process/stress/anxiety/track and field athletes
维普
万方数据