摘要
由于高校学生信息种类繁杂、信息量较大,导致传统的高校学生信息管理系统存在管理功能成功率低、管理运行性能差的问题,为此利用支持向量机算法,从硬件、数据库和软件三个方面实现对高校学生信息分类管理系统的优化设计。在传统硬件系统的基础上,加设数据采集处理器,并改装通信网络和连接电路;分别从概念、数据库表、逻辑结构和物理结构等多个方面,得出系统数据库的设计结果;在硬件设备和数据库的支持下,利用支持向量机算法实现对学生信息数据的分类,并实现对学生信息的管理功能。通过系统测试实验得出结论:与传统系统相比,设计系统的管理功能的实现成功率有所提高、在多用户同时在线的环境下运行速度更快,应用性能更优。
The traditional college students'information management system has the problems of low success rate of information management and poor management performance due to the complexity of college students'information and the large amount of information.Therefore,the support vector machine algorithm is adopted to optimize the design of college students'information classification management system in three aspects of hardware,database and software.On the basis of the traditional hardware system,the data acquisition processor is added,and the communication network and connecting circuit are refitted.The design results of the system database are obtained in the aspects of the concept,database table,logical structure and physical structure.With the support of hardware equipments and database,the classification of the student information data and the management function of student information are realized with the support vector machine algorithm.The experiment results of the system indicate that,in comparison with the traditional system,the success rate of the management function of the system designed in this paper is improved,and its running speed is faster in the multi⁃user online environment,that is,the application performance is much better.
作者
陈晨
应晨希
CHEN Chen;YING Chenxi(Nanjing Forestry University,Nanjing 210037,China)
出处
《现代电子技术》
2021年第16期95-99,共5页
Modern Electronics Technique
基金
国家自然科学基金项目(11301267)。
关键词
高校学生信息
信息分类
支持向量机
信息管理
优化设计
数据采集
电路设计
college student information
information classification
support vector machine
information management
optimization design
data acquisition
circuit design
