| 神经网络组合模型在刘翔比赛成绩预测中的应用 |
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| 引用本文： | 吴春,陈少平.神经网络组合模型在刘翔比赛成绩预测中的应用[J].广州航海高等专科学校学报,2011,19(1):37-40. |
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| 作者姓名： | 吴春 陈少平 |
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| 作者单位： | 1. 广州航海高等专科学校,基础部,广东,广州,510725
2. 广州航海高等专科学校,航运经贸学院,广东,广州,510725 |
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| 摘 要： | 影响体育比赛成绩的因素很多,传统的体育预测方法很难得到满意的预测结果.神经网络预测模型具有很强的非线性映射,在许多领域都有很好的应用.通过建立BP、RBF、Elman神经网络模型及组合模型,分别对刘翔110 m栏成绩进行预测.从预测结果看,最优线性组合模型的预测精度更高,具有更好的应用价值.
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| 关 键 词： | 神经网络 组合模型 预测 刘翔 成绩 |
Application of Neural Network Combined Model in Liu Xiang's Contest Results Predicting |
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| WU Chun,CHEN Shao-ping.Application of Neural Network Combined Model in Liu Xiang's Contest Results Predicting[J].Journal of Guangzhou Maritime College,2011,19(1):37-40. |
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| Authors: | WU Chun CHEN Shao-ping |
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| Institution: | 1.Division of Basic Science,Guangzhou Maritime College,Guangzhou 510725,China;2.Shipping Economy and Trade,Guangzhou Maritime College,Guangzhou 510725,China) |
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| Abstract: | There are many facts that can affect the contest result.It is difficult to obtain satisfying predicted result by traditional physical predicting method.Neural Network Combined Model can be applied to mang fields because it has better nonlinear mapping capability.In this paper,we separately predicated Liu Xiang’s 110m hurdle results by the establishment of BP,RBF,Elman neural network prediction model.Depending on the predicated results,the best excellent Combined Model has better predicating precision and applying value. |
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| Keywords: | neural network combined model prediction Liu Xiang results |
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