A healthy mental status of students plays an important role in getting quality of education. Hence, research on the prediction of college students' mental health status is of great importance and considered as a hot area of research. In this specific research study, back propagation (BP) algorithm is adopted to learn verities of characteristics of different students from the historical data of the students including: psychological characteristics, basic personal characteristics, and socio-economic characteristics. In the initial stage of the modeling, data preprocessing steps are used to prepare the data to be used by the BP algorithm for building model. The rationales behind the use of BP algorithm are its capability of handling heterogeneity of data and exploring correlations among different characteristics. The proposed model enhances the capability of BP algorithm for risk prediction of psychological problem of the students and achieves higher precision of psychological problem prediction. The results obtained show that the error between the predicted and measured values is 0.88%.
机构:
Big Data Research Center, University of Electronic Science and Technology of China, ChengduBig Data Research Center, University of Electronic Science and Technology of China, Chengdu
Nie M.
Luo W.-M.
论文数: 0引用数: 0
h-index: 0
机构:
Big Data Research Center, University of Electronic Science and Technology of China, ChengduBig Data Research Center, University of Electronic Science and Technology of China, Chengdu
Luo W.-M.
Deng H.
论文数: 0引用数: 0
h-index: 0
机构:
Big Data Research Center, University of Electronic Science and Technology of China, ChengduBig Data Research Center, University of Electronic Science and Technology of China, Chengdu
Deng H.
Wang W.
论文数: 0引用数: 0
h-index: 0
机构:
Big Data Research Center, University of Electronic Science and Technology of China, ChengduBig Data Research Center, University of Electronic Science and Technology of China, Chengdu
Wang W.
Xia H.
论文数: 0引用数: 0
h-index: 0
机构:
Big Data Research Center, University of Electronic Science and Technology of China, ChengduBig Data Research Center, University of Electronic Science and Technology of China, Chengdu
Xia H.
Zhou T.
论文数: 0引用数: 0
h-index: 0
机构:
Big Data Research Center, University of Electronic Science and Technology of China, ChengduBig Data Research Center, University of Electronic Science and Technology of China, Chengdu
Zhou T.
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China,
2021,
50
(02):
: 317
-
320
机构:
Anyang Inst Technol, Foreign Language Dept, Anyang 455000, Peoples R ChinaAnyang Inst Technol, Foreign Language Dept, Anyang 455000, Peoples R China
机构:
Xian Int Studies Univ, Sch English Educ, Xian 710128, Shaanxi, Peoples R ChinaXian Int Studies Univ, Sch English Educ, Xian 710128, Shaanxi, Peoples R China
Wu, Dan
Shen, Yuanjun
论文数: 0引用数: 0
h-index: 0
机构:
UCL, London WC1E 6BT, EnglandXian Int Studies Univ, Sch English Educ, Xian 710128, Shaanxi, Peoples R China