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预测与现实:数学模型在奥运会游泳和田径项目中预测精英表现的应用。

Prediction versus reality: the use of mathematical models to predict elite performance in swimming and athletics at the olympic games.

机构信息

School of Exercise Science, Australian Catholic University , Strathfield, NSW, Australia.

出版信息

J Sports Sci Med. 2006 Dec 15;5(4):480-7. eCollection 2006.

Abstract

A number of studies have attempted to predict future Olympic performances in athletics and swimming based on trends displayed in previous Olympic Games. Some have utilised linear models to plot and predict change, whereas others have utilised multiple curve estimation methods based on inverse, sigmoidal, quadratic, cubic, compound, logistic, growth and exponential functions. The non linear models displayed closer fits to the actual data and were used to predict performance changes 10's, 100's and 1000's of years into the future. Some models predicted that in some events male and female times and distances would crossover and females would eventually display superior performance to males. Predictions using mathematical models based on pre-1996 athletics and pre-1998 swimming performances were evaluated based on how closely they predicted sprints and jumps, and freestyle swimming performances for both male and females at the 2000 and 2004 Olympic Games. The analyses revealed predictions were closer for the shorter swimming events where men's 50m and women's 50m and 100m actual times were almost identical to predicted times. For both men and women, as the swim distances increased the accuracy of the predictive model decreased, where predicted times were 4.5-7% faster than actual times achieved. The real trends in some events currently displaying performance declines were not foreseen by the mathematical models, which predicted consistent improvements across all athletic and swimming events selected for in this study. Key PointsPrediction of future Olympic performance based on previous performance trends.Application of non-linear mathematical equations resulting in better fitting models.Application of mathematical predictive models to the Olympic sports of athletics and swimming.Accuracy of mathematical models in predicting sprint events in running and swimming.A research approach to predict future Olympic performance and set future performance standards that could be applied to other sports.

摘要

一些研究试图根据以往奥运会上显示的趋势来预测田径和游泳项目的未来奥运会表现。一些研究使用线性模型来绘制和预测变化,而另一些研究则使用基于逆、S 型、二次、三次、复合、逻辑、增长和指数函数的多种曲线估计方法。非线性模型与实际数据的拟合度更高,因此被用于预测未来 10 年、100 年甚至 1000 年的成绩变化。一些模型预测,在某些项目中,男性和女性的时间和距离将交叉,女性最终将表现出优于男性的成绩。使用基于 1996 年前田径和 1998 年前游泳成绩的数学模型进行的预测,是根据它们对 2000 年和 2004 年奥运会男女短跑和跳跃以及自由泳成绩的预测精度进行评估的。分析结果表明,对于较短的游泳项目,预测更为准确,男子 50 米和女子 50 米和 100 米的实际时间几乎与预测时间相同。对于男女运动员来说,随着游泳距离的增加,预测模型的准确性降低,预测时间比实际时间快 4.5-7%。目前一些项目显示出成绩下降的趋势,这些趋势并没有被数学模型所预见,数学模型预测所有选定的田径和游泳项目都将持续提高。关键点基于以往的表现趋势预测未来的奥运会表现。应用非线性数学方程,得到更好拟合的模型。将数学预测模型应用于田径和游泳奥运项目。数学模型在预测跑步和游泳短跑项目中的准确性。一种预测未来奥运会表现并设定未来表现标准的研究方法,可应用于其他运动。

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