基于混合遗传神经网络的运动员专项成绩预测系统设计  

Design of athlete special performance prediction system based on hybrid genetic neural network

作　　者：马德[1] 李少聪[1] 张军峰 MA De;LI Shaocong;ZHANG Junfeng(Zhangjiakou University,Zhangjiakou 075000,China;Shanxi Medical University,Taiyuan 030002,China)

机构地区：[1]张家口学院,河北张家口075000 [2]山西医科大学,山西太原030002

出　　处：《现代电子技术》2018年第8期183-186,共4页Modern Electronics Technique

基　　金：国家青年科学基金(81102198)~~

摘　　要：针对传统运动员专项成绩预测系统一直存在无法达到实质性的综合预测的问题,提出并设计基于混合遗传神经网络的运动员专项成绩预测系统。通过混合遗传神经网络,导入运动员专项数据,根据系统内部节点间调整,对运动员专项数据信息进行处理,建立专项成绩灰色预测模型,实现运动员专项成绩预测。实验数据表明,所设计的成绩预测系统能够进行高精度的专项成绩预测。In allusion to the problem that the traditional special performance prediction system for athletes has been unable to achieve substantive comprehensive prediction,a special performance prediction system for athletes based on hybrid genetic neural network is proposed and designed.Athletesr special data is imported by means of hybrid genetic neural network.Accord-ing to the internal node adjustment of system,athletes'special data information is processed to establish special performance grey prediction model and achieve athletesr special performance prediction.The experimental data show that the designed perfor-mance prediction system can carry out high-precision special performance prediction.

关 键 词：综合预测 混合遗传神经网络 运动员 专项成绩预测 系统设计 灰色预测模型 

分 类 号：TN711-34[电子电信—电路与系统] TP393[自动化与计算机技术—计算机应用技术]