基于LSTM的高考志愿决策系统  

College Entrance Examination Volunteer Decision System Based on LSTM

作　　者：宋建铭 张岳 李国印 SONG Jianming;ZHANG Yue;LI Guoyin(School of Information Engineering,Shandong Youth University of Political Science,Ji'nan 250103,China)

机构地区：[1]山东青年政治学院信息工程学院,山东济南250103

出　　处：《现代信息科技》2024年第21期109-113,共5页Modern Information Technology

摘　　要：高考志愿填报一直是考生和家长关注的焦点,而传统的填报方式存在信息不对称、填报时间长、考生不了解填报、考生乱填报等问题。为了提升考生对高考志愿填报的准确度,加强考生对填报学校的了解,帮助考生选择自己心仪的学校,文章设计了基于LSTM的高考志愿智能决策系统,通过模型训练、前端页面设计、后端逻辑编写、数据处理和可视化技术等手段,为考生提供更智能和便利的选报方案和填报建议,以提高考生填报成功率和效率。The application of college entrance examination volunteer has always been a focus of attention for candidates and parents,while traditional applying methods have problems such as information asymmetry,long applying time,poor understanding for application of candidates,and haphazard application of candidates.In order to improve the accuracy of candidates in applying their college entrance examination volunteer,enhance their understanding of the schools they are applying to,and help them choose their preferred schools,this paper designs an intelligent college entrance examination volunteer decision system based on LSTM.Through model training,front-end page design,back-end logic writing,data processing,and visualization technology and other means,it provides candidates with more intelligent and convenient selection plans and application suggestions to improve the success rate and efficiency of their application.

关 键 词：高考志愿填报 LSTM 可视化 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]