Evaluation model of endurance performance in military academy students’ 5000-meter running based on gray correlation
ZHANG Tongshuo1, BO Hai2, Qin Yongsheng2, , PENG Peng2
1. No.18 Team of No.2 Student Brigade, 2. Deparment of Military Training Medicine, Logistics University of Chinese Armed Police Forces, Tianjin, 300309, China
Abstract：Objective To analyze the correlation between the performance of military academy students’ 5000-meter running and their exercise physiology indicators associated with 5000-meter running so as to make further efforts to arrange training projects scientifically and provide a theoretical basis for military academy to improve the training quality of 5000-meter running. Methods 5000-meter running performance and 12 exercise physiological indexes grouped into four categories (including anthropometry, cardiorespiratory function, velocity fitness and strength fitness) of 58 students from a military academy was measured by cluster sampling method. Gray correlation model was established to analyze the collected data. Then BP neural network model was used to verify the evaluation results. Results According to the order, the five main factors influencing the performance of 5000-meter running were VO2max, heart rate of 5000-meter running at fixed workload, performance of 2000-meter running, fat rate and FVC index.BP neural network model was able to accurately evaluate the endurance performance of 5000-meter running with VO2max and heart rate of 5000-meter running at fixed workload. Conclusion The factors screened by gray correlation model are reasonable and credible. Suggest military academy should consider arranging some training projects which contribute to improvement of cardiopulmonary function and drop of fat rate. By this way, the blindness of training is reduced so as to improve the training quality of 5000-meter running.
张桐硕,薄海,秦永生,彭朋. 灰色关联分析模型对军校大学生5000 m耐力素质的评价效果[J]. 武警医学, 2014, 25(9): 916-920.
ZHANG Tongshuo, BO Hai, Qin Yongsheng, , PENG Peng. Evaluation model of endurance performance in military academy students’ 5000-meter running based on gray correlation. Med. J. Chin. Peop. Armed Poli. Forc., 2014, 25(9): 916-920.
2014, Vol. 25 
