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最小二乘支持向量机和预测误差校正的运动员成绩预测

王娟娟

现代电子技术2018,Vol.41Issue(5):163-166,172,5.
现代电子技术2018,Vol.41Issue(5):163-166,172,5.DOI:10.16652/j.issn.1004-373x.2018.05.037

最小二乘支持向量机和预测误差校正的运动员成绩预测

Athletes' performance prediction based on least square support vector machine and prediction error correction

王娟娟1

作者信息

  • 1. 郑州科技学院,河南 郑州450000
  • 折叠

摘要

Abstract

In order to get better performance prediction results of athletes,an athletes'performance prediction model based on least square support vector machine and prediction error correction is proposed. The lifting wavelet and least square support vector machine are used to model and predict the athletes' performance. And then the error correction method is used to correct the prediction result of athletes' performance. The validity of the model was tested with the prediction instance of the athletes' perfor-mance.The superiority of the model was verified by means of contrast experiment of other athletes'performance prediction models. The results show this model can reduce the prediction error of the athletes' performance,improve the stability of athletes' performance result by means of error correction,and its prediction accuracy is higher than that of other athletes'performance prediction models.

关键词

运动员成绩/最小二乘支持向量机/误差校正/预测模型/预测误差/预测精度

Key words

athletes' performance/least square support vector machine/error correction/prediction model/prediction error/prediction accuracy

分类

信息技术与安全科学

引用本文复制引用

王娟娟..最小二乘支持向量机和预测误差校正的运动员成绩预测[J].现代电子技术,2018,41(5):163-166,172,5.

基金项目

湖北省高等学校教学研究项目(2013160)Project Supported by Hubei Higher Education School Teaching Research Project(2013160) (2013160)

现代电子技术

OA北大核心CSTPCD

1004-373X

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