School of Physical Education, South China University of Technology, Guangzhou 510006, China.
Physical Education College of Harbin University of Commerce, Harbin 150028, China.
J Environ Public Health. 2022 Aug 16;2022:2310438. doi: 10.1155/2022/2310438. eCollection 2022.
At present, college students give great importance to their physical training, but their physical habits are poor and they cannot exercise regularly. In view of the influencing factors in the habit formation of physical exercise, this paper puts forward a continuous discrete algorithm to provide students with a scientific and reasonable habit formation scheme. First, the data of college students' physical exercise habits are collected, and the data are cleaned and continuously analyzed to initially form a habit formation data set; Then, the information gain and clustering thought in the discrete algorithm are used to judge the data change, and the ordered relationship among the factors is obtained. Finally, in judging the influence degree of each factor, we find out the final influencing factors. MATLAB simulation shows that the continuous discrete algorithm can accurately analyze the problem of physical exercise habit formation and sort the influencing factors, with an accuracy rate of 90% and a calculation time of less than 19 minutes, which is significantly better than the original discrete algorithm.
目前，大学生对体育锻炼非常重视，但他们的体育锻炼习惯较差，无法进行有规律的锻炼。针对体育锻炼习惯养成的影响因素，本文提出了一种连续离散算法，为学生提供科学合理的习惯养成方案。首先，收集大学生体育锻炼习惯的数据，对数据进行清洗并持续分析，初步形成习惯养成数据集；然后，利用离散算法中的信息增益和聚类思想来判断数据变化，得出因素之间的有序关系。最后，在判断各因素的影响程度时，找出最终的影响因素。MATLAB 仿真表明，连续离散算法能够准确分析体育锻炼习惯养成问题，并对影响因素进行排序，准确率达到 90%，计算时间不到 19 分钟，明显优于原离散算法。
