基于机器学习的高校资助管理系统设计

Design of university funding management system based on machine learning

如何精准识别“高校假贫困生”,解决“真正贫困生被遗漏”的问题,一度成为困扰高等教育扶贫顺利推进的关键。已经有更多的学者设计了辅助精准扶贫的信息管理系统,但因系统覆盖领域多、各扶贫对象不同、致贫因素不一、系统应用领域多样、扶贫措施各异的特点,现如今的资助信息管理系统往往更多关注于信息的记录和查询。文章利用人工智能的随机森林分类算法,针对大学生群体设计了一个智能的高校资助管理系统,应用技术手段甄别出真正的贫困生,初步解决了目前高校资助管理工作中奖助贷免等实际存在的问题。

How to accurately identify“fake poor students in colleges and universities”and solve the problems of“real poor students are missed”once became the key to the smooth progress of poverty alleviation in higher education.More scholars have designed the auxiliary accurate information management system for poverty alleviation,but because of the system coverage areas,different areas,poverty alleviation object,poor factors,system adaptability is not strong and different poverty alleviation measures,information management system is relatively simple,the author using artificial intelligence of random forest classification technology to design an intelligent college funding management system,application technology means to distinguish the real poor students,solve the practical problems.