Optimization System of University Public Sports Training Data Management Based on Intelligent Optimization Algorithm

Guyu Dong, Jie Yu
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Abstract

Since many colleges and universities have always used the traditional manual filling and paper saving method to manage various information materials of training data, this brings many problems to daily management, such as data loss and difficulty in data. Find and work inefficient. In order to solve these problems, this paper intends to establish a management system for public sports training data, and hand over the complicated data management work to the system, which can not only reduce the workload of data management personnel, but also improve management efficiency and avoid data data loss, etc. In the design process, this paper uses the PAX page layout to design the system structure, and then introduces the particle swarm optimization algorithm in the intelligent optimization algorithm to optimize the performance of the system and make the data processing function of the system more perfect. This paper mainly aims at students' training performance data management, constructs training performance data table, and analyzes the realization process of training training performance data management. It is hoped that the promotion of this system to the management of public sports training data in colleges and universities can effectively improve the management efficiency.
基于智能优化算法的高校公共体育训练数据管理优化系统
由于很多高校对培训数据的各种信息资料的管理一直采用传统的人工填表、省纸的方式,这给日常管理带来了数据丢失、数据难等诸多问题。发现和工作效率低下。为了解决这些问题,本文打算建立一个公共体育训练数据管理系统,将复杂的数据管理工作交给系统,这样不仅可以减少数据管理人员的工作量,还可以提高管理效率,避免数据数据丢失等问题。在设计过程中,本文采用PAX页面布局对系统结构进行设计,然后在智能优化算法中引入粒子群优化算法,对系统的性能进行优化,使系统的数据处理功能更加完善。本文主要针对学生培训绩效数据管理,构建培训绩效数据表,分析培训培训绩效数据管理的实现过程。希望将本系统推广到高校公共体育训练数据管理中,能有效提高管理效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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