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Grey prediction model-based GM (1, 1) 100m performance prediction applied research

机译:基于灰色预测模型的GM(1,1)100m性能预测的应用研究

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Grey system theory is a kind of ideal method in processing small samples dynamic development problems, and 100m race speed problem has “poor data information”, “small samples” and “dynamics”, it lets grey system to have advantages over traditional probability statistics and fuzzy mathematics in its problem research, grey mathematics’ application in competitive sports performances prediction and analyses are more and more extensive. The paper applies documents literature, makes statistics of year1992~2012 every session Olympic Games’ 100m race best performances. Establish GM (1, 1) grey model on them. By using GM (1, 1) model, it predicts next session Olympic Games 100m best performances, and states GM (1, 1) model methods application in multiple events sports competition.
机译:灰色系统理论是处理小样本动态发展问题的一种理想方法,而100m竞赛速度问题具有“数据信息差”,“小样本”和“动力学”的问题,它使灰色系统具有优于传统概率统计和模糊数学在其问题研究中的应用,灰色数学在竞技体育表现预测和分析中的应用越来越广泛。本文运用文献资料,对1992〜2012年每届奥运会100m比赛的最佳表现进行统计。在它们上建立GM(1,1)灰色模型。通过使用GM(1,1)模型,预测下一届奥运会100m最佳表现,并指出GM(1,1)模型方法在多项目体育比赛中的应用。

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