青少年体质突变数据实时监测仿真  

Simulation of Real Time Monitoring Method for Adolescent Physical Fitness Mutation Data

作　　者：李宝国[1] 陈凤[2] LI Bao- guo;CHEN Feng(School of Physical Education, Shihezi University, Shihezi Xinjiang 832000, China;School of Information Science and Technology, Shihezi University, Shihezi Xinjiang 832000, China)

机构地区：[1]石河子大学体育学院,新疆石河子832000 [2]石河子大学信息科学与技术学院,新疆石河子832000

出　　处：《计算机仿真》2018年第4期184-187,208,共5页Computer Simulation

基　　金：国家社会科学基金青年项目(16cty006)

摘　　要：针对青少年体质的不稳定性,对其体质突变数据的监测能够有效预防青少年疾病。对青少年体质突变数据的实时监测,需要获得突变数据矩阵,计算各个监测指标与最优方案之间的接近程度。传统方法基于灰色关联度建立相应监测指标体系,构建监测模型,但忽略了计算监测指标与最优方案之间的接近程度,导致监测模型的监测结果精度偏低。提出青少年体质突变数据实时监测的方法,采用正态分布法,编制5类指标的等级评分表,分别赋予相应标准分,并进行权重分配建立青少年体质突变数据的综合监测体系,对各监测指标的实测值进行归一化处理,获得突变数据矩阵,选取最优和最劣方案,确定最优值和最劣值之间的距离,计算各个监测指标与最优方案之间的接近程度,采用秩和比法建立监测模型。实验结果表明,所提模型的监测指标更加全面,具有较高的监测准确性。Aiming at the instability of adolescent body constitution, the monitoring of their physical mutation data can effectively prevent adolescent diseases. The traditional method ignores the proximity between the monitoring index and the optimal solution, resulting in the low precision of monitoring model. A real - time monitoring method of ado- lescent physical mutation data is proposed. The normal distribution method is used to work out the grading table of five kinds of index. The corresponding standard score is given. The weight distribution is carried out to establish the comprehensive monitoring system of adolescent physical mutation data. The measured value of each monitoring index value is normalized to obtain the mutation data matrix. The best and the worst schemes are selected to determine the distance between the best value and the worst value. The closeness between each monitoring index and the optimal scheme is calculated. Finally, the monitoring model is established by rank - sum ratio method. Simulation results show that the monitoring index of proposed model are more comprehensive, which has higher monitoring accuracy than traditional one.

关 键 词：青少年体质 突变数据 实时监测 

分 类 号：G804[文化科学—运动人体科学]