摘要
高校生活是人们关注的焦点,一门课程的好坏往往可以从学生是否提前占座反映出来。高校课堂的占座也是学生头痛的问题,针对这种问题,文章研发了基于神经网络算法的智能选座平台。此项目占用内存较小,运行效率高,操作简单,针对学生恶意占座推出惩罚措施,极大地改善了用户的体验。同时,其应用GPS系统进行精确定位,为学生提供了更多的学习时间。
College life is the focus of attention,and the quality of a course can often be reflected by whether students occupy seats in advance.The occupation of seats in college classrooms is also a headache for students.To solve this problem,this paper develops an intelligent seat selection platform based on neural network algorithm.This project occupies less memory,runs efficiently,and is simple to operate.Penalty measures are introduced for students who occupy seats maliciously,which greatly improves the user's experience.At the same time,the GPS system is used for precise positioning.which provides more learning time for students.
作者
孙珊珊
梁媛
李睿琪
杨晶
李欣
SUN Shanshan;UANG Yuan;LI Ruiqi;YANG Jing;LI Xin(School of Information Engineering,Suihua University,Suihua,Heilongjiang 152000,China)
出处
《计算机应用文摘》
2023年第1期93-95,共3页
Chinese Journal of Computer Application
基金
黑龙江省省属高等学校基本科研项目(KYYWF10236190113)
黑龙江省教育教学改革项目(SJGY20211012)
黑龙江省大学生创新创业项目(S202210236088)
绥化学院教育教学改革项目(JS2021012)
绥化学院大学生创新创业项目(shxy202115)。
关键词
神经网络
占座
高校
neural network
seat occupancy
colleges and universities