基于SSA-SVM的大学生体质评价  

Physical Evaluation of College Students Based on SSA-SVM

作　　者：李文芳[1] Li Wenfang(Xi'an Eurasia University,Xian,Shangxi,China 710065)

机构地区：[1]西安欧亚学院,陕西西安710065

出　　处：《现代科学仪器》2020年第4期159-164,共6页Modern Scientific Instruments

摘　　要：大学生体质评价有助于提出有针对性的措施增强和提高大学生体质和健康状况。针对支持向量机模型性能易受惩罚参数C和核函数宽度g的影响,提出樽海鞘算法优化SVM模型参数的大学生体质评价模型。为了较好地反映大学生速度、爆发力、力量和耐力水平素质水平,选择50m跑、坐位体前屈、立定跳远、男生引体向上、女生1min、仰卧起坐、男生1000m跑、女生800m跑作为大学生体质评价指标,将大学生体质评价指标作为SSA-SVM模型的输入,体质总分作为SSA-SVM模型的输出,建立SSA-SVM的大学生体质评价模型。研究结果表明,SSA-SVM可以快速实现大学生体质状况评价,为大学生体质评价提供新的方法。The physical evaluation of college students is helpful to propose targeted measures to enhance and improve the physical fitness and health of college students.Aiming at the influence of the performance of support vector machine model on the parameter C and the width g of kernel function,this paper proposes a physical evaluation model for college students.In order to better reflect the level of college student speed,explosiveness,strength and endurance,choose 50m running,sitting body bending,standing long jump,boys leading up,girls 1min,sit-ups,boys 1000m running,girls 80m running as college students'physical evaluation indicators.The physical evaluation index of college students is used as the input of SSA-SVM model,and the total physical score is used as the output of SSA-SVM model,and the college student physical evaluation model of SSA-SVM is established.The results show that SSA-SVM can quickly realize the evaluation of college students'physical condition and provide a new method for college students'physical evaluation.

关 键 词：支持向量机 樽海鞘算法 体质评价 评价指标 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]