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2021, 11, v.37 137-140
应用神经网络的足球比赛结果预测
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发布时间: 2021-11-20
出版时间: 2021-11-20
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摘要:

足球作为世界第一大体育运动,受到了全世界观众的关注。伴随着互联网彩票行业在国内的兴起,越来越多的彩民也开始关注这项比赛并投注。为了实现盈利最大化,需要对结果进行预测。因此,提出了一种基于神经网络的足球比赛结果预测算法。该方法基于BP神经网络,将对比赛最有影响的因素作为特征对竞赛结果进行预测。通过对神经网络特性的实验研究,预测精度达到75%。

Abstract:

As the largest sportinthe world, football matches have attracted the attention of people all over the world. With the rise of the Internet lottery industry in China, more and more lottery players have begun to pay attention to match betting. In order to maximize profit, the results need to be predicted, here we present a prediction algorithm of football results based on neural network. This method is based on the BP neural network and uses the most influential factors of the game as features to predict the results. Through the experimental research on the characteristics of the neural network, the prediction accuracy reaches 75%.

参考文献

[1] 马世龙,乌尼日其其格,李小平.大数据与深度学习综述[J].智能系统学报,2016,11(6):728-742.

[2] 胡越,罗东阳,花奎,等.关于深度学习的综述与讨论[J].智能系统学报,2019,14(1):1-19.

[3] 毛健,赵红东,姚婧婧.人工神经网络的发展及应用[J].电子设计工程,2011,19(24):62-65.

[4] 王超杰,孟梦,李然.大数据时代人工智能在计算机网络技术中的应用[J].山东工业技术,2019(6):146.

[5] 韩晔彤.人工智能技术发展及应用研究综述[J].电子制作,2016(12):95.

[6] Dobson S,Goddard J.Modelling and forecasting match results in the English Premier League and Football League[M].Berlin Heidelberg:Springer,2014:59-77.

[7] Prasetio D,Harlili D.Predicting football match results with logistic regression[C]//2016 International Conference on Advanced Informatics:Concepts,Theory And Application (ICAICTA).August 16-19,2016,Penang,Malaysia.IEEE,2016:1-5.

[8] 夏飞.BP神经网络在足球比赛胜负预测中的应用研究[D].重庆:重庆师范大学,2017.

[9] 赵喜迎.优秀男子乒乓球单打比赛结果预测方程研究[J].河北体育学院学报,2018,32(3):87-91.

[10] 雷光裕.世界杯足球比赛多分类预测模型研究[J].软件导刊,2019,18(7):45-48.

[11] 张振宇.基于最大熵原理的NBA赛事胜负预测与方法研究[D].湘潭:湘潭大学,2017.

[12] 夏瑜潞.人工神经网络的发展综述[J].电脑知识与技术,2019,15(20):227-229.

[13] 陈斌,胡丽,李昂等.基于BP神经网络算法的仿真研究[J].信息技术,2016(8):85-88.

[14] Li B Y,Liu C.Parallel BP Neural Network on Single-chip Cloud Computer[C]//2015 IEEE 17th International Conference on High Performance Computing and Communications,2015 IEEE 7th International Symposium on Cyberspace Safety and Security,and 2015 IEEE 12th International Conference on Embedded Software and Systems.August 24-26,2015,New York,NY,USA.IEEE,2015:1871-1875.

[15] He F,Zhang L Y.Prediction model of end-point phosphorus content in BOF steelmaking process based on PCA and BP neural network[J].Journal of Process Control,2018,66:51-58.

[16] 李友坤.BP神经网络的研究分析及改进应用[D].淮南:安徽理工大学,2012.

[17] Yuan C S,Sun X M,Wu Q M J.Difference co-occurrence matrix using BP neural network for fingerprint liveness detection[J].Soft Computing,2019,23(13):5157-5169.

[18] 李永恒.基于改进蝙蝠算法的前向神经网络研究[D].南宁:广西大学,2018.

[19] 李宗坤,郑晶星,周晶.误差反向传播神经网络模型的改进及其应用[J].水利学报,2003(7):111-114.

基本信息:

中图分类号:TP183;G843

引用信息:

[1]黄易.应用神经网络的足球比赛结果预测[J].微型电脑应用,2021,37(11):137-140.

发布时间:

2021-11-20

出版时间:

2021-11-20

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