微型电脑应用2018，Vol.34Issue(3)：58-61,4.
基于果蝇算法优化极限学习机的体育竞赛成绩预测研究
Research on the Performance Prediction of the Sport Competition Based on the Optimization Learning Machine
张文 1牟艳 1高振兴 1刘志丰1
作者信息
- 1. 河海大学物联网工程学院,江苏常州213022
- 折叠
摘要
Abstract
In order to achieve efficient and fast prediction of the athletic contest achievement,in view of the influence of extreme learning machine prediction results by its easy choice of initial parameters,combined with the rapid optimization ability of Drosophila optimization algorithm,this paper proposes an optimized extreme learning machine sports competition performance prediction algorithm(FOA-ELM) based on the model of Drosophila.of the twenty-fourth ～ thirtieth Olympic Games,in cluding men's 100 m scores are seleded as the research object,using the rolling prediction method,is used The results show that,compared with PSO-ELM,GA-ELM,SOA-ELM,DE-ELM and ELM,the FOA-ELM has higher prediction accuracy and computational efficiency,the effect is good,and has better practical value.关键词
极限学习机/径向基神经网络/成绩预测/田径竞赛Key words
extreme learning machine/neural network/radial basis function neural network/performance prediction track and field-compction分类
信息技术与安全科学引用本文复制引用
张文,牟艳,高振兴,刘志丰..基于果蝇算法优化极限学习机的体育竞赛成绩预测研究[J].微型电脑应用,2018,34(3):58-61,4.
