• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Young Pharmacists >Multi-Hierarchical Pattern Recognition of Athlete’s Relative Performance as A Criterion for Predicting Potential Athletes
【24h】

Multi-Hierarchical Pattern Recognition of Athlete’s Relative Performance as A Criterion for Predicting Potential Athletes

机译：运动员相对表现的多层次模式识别作为预测潜在运动员的标准

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Objective: This study investigates the relative performance quality pattern of athletes that trains under Terengganu sports development program based on physical fitness and psychological components. Methods: Relative performance data (223×7) were obtained from various types of sport, and its main tributaries were evaluated for physical fitness and TEOSQ instrument. Multivariate methods of hierarchical agglomerative cluster analysis (HACA), discriminant analysis (DA), principal component analysis (PCA), and principal factor analysis (PFA), were used to study the relative performance variations of the most significant performance quality variables and to determine the origin of relative performance components. Results: Three clusters of performance were shaped in view of HACA. Forward and backward stepwise DA discriminates six and five performance quality variables from the first seven variables. PCA and FA were used to identify the origin of each quality performance variables based on three clustered groups. Three PCs were obtained with 67% total variation for the highperformance group (HPG) region, three PCs with 72% and 64% total variances were obtained for the moderate-performance group (MPG) and low-performance group (LPG) regions, respectively. The general performance sources for the three groups are from cardiovascular and ego orientation sources. The differences between groups are from flexibility for LPG, task orientation, muscle strength and endurance for MPG and for HPG is flexibility, strength and task orientation. Conclusion: Multivariate methods reveal meaningful information on the relative performance variability of a large and complex athlete’s performance quality data and can be used to determine the significant source and predict potential athletes.
机译：目的：本研究从身体健康和心理因素出发，研究在登嘉楼体育发展计划下训练的运动员的相对表现质量模式。方法：从各种运动项目中获得相对表现数据（223×7），并对其主要支流进行身体适应性评估和TEOSQ仪器。使用多层次聚类聚类分析（HACA），判别分析（DA），主成分分析（PCA）和主因子分析（PFA）的方法来研究最重要的绩效质量变量的相对绩效变化并确定相对性能组件的起源。结果：鉴于HACA，形成了三个绩效集群。前进和后退逐步DA从前七个变量中区分出六个和五个性能质量变量。 PCA和FA用于基于三个聚类组来识别每个质量绩效变量的来源。高性能组（HPG）区域获得三台PC的总变异为67％，中等性能组（MPG）和低性能组（LPG）的区域分别获得三台PC的总变异为72％和64％ 。三组的一般表现来源来自心血管和自我取向来源。两组之间的差异在于LPG的灵活性，任务定向，MPG的肌肉力量和耐力，而HPG的灵活性，力量和任务定向。结论：多变量方法可揭示有关大型复杂运动员的成绩质量数据的相对性能差异的有意义的信息，可用于确定重要来源和预测潜在运动员。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号