College Entrance Examination Volunteer Decision System Based on LSTM
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.
application of college entrance examination volunteerLSTMvisualization
国家科技期刊平台
NSTL
万方数据
