摘要
高校招生信息是高考生、家长较为关注的热点问题,而招生咨询是高考生、家长获得高校招生信息的主要途径。传统高校人工回答的方式需要损耗大量的人力资源、物力资源,成本较高。基于此,笔者从深度自编码网络的概念入手,阐述了基于深度自编码网络的高校招生咨询算法设计与实现方法,并对基于深度自编码网络的高校招生咨询算法应用效益进行了进一步探究。
College enrollment information is a hot issue concerned by college entrance examination students and parents,and enrollment consultation is the main way for college entrance examination students and parents to obtain college enrollment information.The traditional way of artificial answer in Colleges and universities needs to consume a lot of human resources and material resources,and the cost is high.Based on this,the author starts with the concept of deep self coding network,expounds the design and implementation method of college enrollment consulting algorithm based on deep self coding network,and further explores the application benefits of college enrollment consulting algorithm based on deep self coding network.
作者
云大维
Yun Dawei(School of Information Engineering,Hainan Institute of Science and Technology,Haikou Hainan 571000,China)
出处
《信息与电脑》
2020年第18期49-51,共3页
Information & Computer
基金
教育部产学合作协同育人项目“基于高校的智慧党建及关键算法的研究”(项目编号:201901012011)。
关键词
深度自编码
网络
高校
招生咨询算法
depth self-coding
network
colleges and universities
admission counseling algorithm
