首页|学生体能训练任务智能规划系统设计与实现

学生体能训练任务智能规划系统设计与实现

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随着信息技术的发展,各类数据管理与数据分析技术广泛应用,为社会高质量生活带来诸多便利。在深入研究数据库技术及数据分析技术的基础上,设计了一种对学生体能训练任务智能规划系统。该系统通过设计六个核心表,实现了对人员数据的全面管理,提供了增、删、改、查等基本数据管理功能。同时,该系统还实现了智能化人员分组与成绩预测的功能,其不仅可以采用预设的判断语言进行初步分组,还引入K-means算法进行智能分组,确保了分组的科学性和准确性。此外,智能系统利用线性回归和随机森林模型进行成绩预测,为教练团队制定训练计划提供了更加科学和精准的决策参考,并对学生体能成绩的快速提高提供有效支撑。
Design and Implementation of Intelligent Planning System for Students'Physical Training Tasks
With the development of information technology,various data management and data analysis technologies are widely used,bringing many conveniences to high-quality social life.Based on the deep research on database technology and data analysis technology,an intelligent planning system for students'physical training tasks is designed.This system achieves comprehensive management of personnel data through the design of six core tables,and provides basic data management functions such as adding,deleting,modifying,and querying.At the same time,this system also realizes the functions of intelligent personnel grouping and performance prediction.It not only uses preset judgment language for preliminary grouping,but also introduces the K-means algorithm for intelligent grouping,ensuring the scientificity and accuracy of grouping.In addition,the intelligent system uses Linear Regression and Random Forest models for performance prediction,provides more scientific and accurate decision-making references for the coaching team to formulate training plans,and provides effective support for the rapid improvement of students'physical performance.

SQL Server databaseK-means algorithmLinear Regression model predictionRandom Forest model prediction

康梦琦、董经纬

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陆军工程大学 指挥控制工程学院,江苏 南京 210007

SQL Server数据库 K-means算法 线性回归模型预测 随机森林模型预测

2024

现代信息科技
广东省电子学会

现代信息科技

ISSN:2096-4706
年,卷(期):2024.8(22)