摘要
为了获得更好的运动员成绩预测结果,提出最小二乘支持向量机和预测误差校正的运动员成绩预测模型。首先通过提升小波和最小二乘支持向量机对运动员成绩进行建模和预测,然后通过误差校正方式对运动员成绩的预测结果进行校正,最后通过运动员成绩预测实例对模型的有效性进行测试,并与其他运动员预测模型进行对比实验,验证其优越性,结果表明,所提模型降低了运动员成绩的预测误差,并且通过误差校正提高了运动员成绩预测结果的稳定性,预测精度要优于其他运动员成绩预测模型。
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′ performance. 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.
出处
《现代电子技术》
北大核心
2018年第5期163-166,172,共5页
Modern Electronics Technique
基金
湖北省高等学校教学研究项目(2013160)~~
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
athletes' performance
least square support vector machine
error correction
prediction model
prediction error
prediction accuracy
