现代电子技术2018，Vol.41Issue(6)：154-157,4.DOI:10.16652/j.issn.1004-373x.2018.06.037
基于大数据网络的运动损伤评估模型研究
Research on sports injury evaluation model based on big data network
摘要
Abstract
The existing sports injury evaluation methods can neither simultaneously conduct horizontal and longitudinal inju-ry risk estimation,nor can they clearly judge whether the injury part belongs to single injury or compound injury. To solve this problem,a sports injury evaluation model based on big data network is designed. The establishment of big data network environ-ment is accomplished by establishing network topological structure,obtaining deep neural network data,and constructing the re-lationship between big data and deep neural network. The establishment of big data network based sports injury evaluation model is accomplished by determining the risk sources of sports injury,recognizing injury risk factors,and estimating the sports injury based on injury risk factors. The comparison experiment was designed,and the results show that the new sports injury evaluation model can simultaneously conduct horizontal and longitudinal injury risk estimation,and can also judge the sports injury proper-ty of specific parts within a short time in comparison to the traditional methods.关键词
大数据网络/运动损伤/评估模型/拓扑结构/深度神经网络/风险源/风险因素Key words
big data network/sports injury/evaluation model/topological structure/deep neural network/risk source/risk factor分类
信息技术与安全科学引用本文复制引用
杨宋华..基于大数据网络的运动损伤评估模型研究[J].现代电子技术,2018,41(6):154-157,4.基金项目
江苏自然科学基金(BK20140019) （BK20140019）
南通市社科(2017CNT013) （2017CNT013）
江苏省现代教育技术研究(2017-R-54386) Project Supported by Jiangsu Natural Science Foundation of China(Bk20140019),Nantong Social Sciences(2017CNT013),Jiangsu Modern Education Technology Research(2017-R-54386) （2017-R-54386）
