基于因子分析和神经网络的高校学生心理健康评估研究  

Factor analysis and neural network for mental health assessment of college students

作　　者：孙聪 王冠卓[1] 刘大旭[1] 穆阳[2] SUN Cong;WANG Guan-zhuo;LIU Da-xu;MU Yang(Heilongjiang University of Chinese Medicine,Harbin 150040,China;Jiamusi University,Jiamusi 154007,Heilongjiang Province,China)

机构地区：[1]黑龙江中医药大学,哈尔滨150040 [2]佳木斯大学,黑龙江佳木斯154007

出　　处：《信息技术》2022年第12期57-61,共5页Information Technology

基　　金：四川医院管理和发展研究中心项目(SCYG2019-39)。

摘　　要：为提升高校学生心理健康评估水平,提出基于因子分析和神经网络的高校学生心理健康评估方法。利用因子分析模型获取高校学生心理健康原始数据内的共性因子,挖掘对高校学生心理健康评估具有较大影响的评价指标,构建高校学生心理健康评价指标体系;训练RBF神经网络,输出高校学生心理健康评估结果。实验证明:该方法可有效获取高校学生心理健康评估结果,评估的准确性高、速度快。In order to improve the level of college students’mental health assessment,a method of college students’mental health assessment based on factor analysis and neural network is proposed.This paper uses factor analysis model to obtain the common factors in the original data of college students’mental health,excavates the evaluation indexes that have great influence on the mental health evaluation of college students,constructs the evaluation index system of college students’mental health.The system would be used to train the RBF neural network,and outputs the evaluation results of college students’mental health.Experiments show that this method can effectively obtain the mental health assessment results of college students,and the evaluation results are accurate and fast.

关 键 词：因子分析 神经网络 高校学生 心理健康 评价指标 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]