Research on Early Warning Model of College Students' Psychological Crisis Based on Genetic BP Neural Network
American Journal of Applied Psychology
Volume 8, Issue 6, November 2019, Pages: 112-120
Received: Oct. 26, 2019;
Accepted: Nov. 18, 2019;
Published: Nov. 26, 2019
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Jia Wang, College of Medical Informatics, Chongqing Medical University, Chongqing, China
Zijie Zhang, College of Medical Informatics, Chongqing Medical University, Chongqing, China
Haiji Luo, College of Medical Informatics, Chongqing Medical University, Chongqing, China
Yinghao Liu, College of Medical Informatics, Chongqing Medical University, Chongqing, China
Wei Chen, College of Medical Informatics, Chongqing Medical University, Chongqing, China
Gang Wei, College of Electrical Engineering, Chongqing University of Science Technology, Chongqing, China
With the continuous advancement of information construction in colleges and universities, a large number of student data have been accumulated and precipitated in the campus center database of colleges and universities. On the basis of social constructivist psychology, Maslow and Mittelmann's mental health standards and related research results of psychological crisis early warning, three first-level indicators and 15 second-level indicators of college student’s psychological crisis were established. The campus data of 1504 college students were collected on one data center of a college, and the weight of each indicator was determined on the basis of correlation analysis of each indicator and psychological status indicators through SPSS21.0 and the expert opinion. The early warning model of college students’ psychological crisis was basically constructed. With experimental simulation of 250 sets of real data, the early warning model based on the genetic BP Neural network for its initial weight and threshold with MATLAB was improved. The results indicated that the indicator system of college student’s psychological crisis in this paper was effective and feasible, and the early warning model based on genetic BP neural network had high accuracy and certain application value.
Research on Early Warning Model of College Students' Psychological Crisis Based on Genetic BP Neural Network, American Journal of Applied Psychology.
Vol. 8, No. 6,
2019, pp. 112-120.
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Pei Tao, Zhou Hong, Chen Yu, et al. Study on the Applied of Early Warning of Mental Crisis in Institutions of Higher Education [J]. College Counselors, 2015, 12 (6): 21-25.
Lu Jun, Xu Jianmei. Behavior Observational Warning Indicator System for Psychological Disorder “Gatekeepers” among College Students [J]. Forecast and Analysis, 2016, 5: 94-99.
Yang Xueling, Zhang Pining, Liang Ting, et al. A Study on the Early warning Index of Mental Disorder Gatekeeper Behavior in College Students [J]. Modern Preventive Medicine, 2016, 43 (7): 1246-1249.
Holahan C J, Moos R H. Life Stressors, Resistance Factors, and Improved Psychological Functioning [J]. Journal of Personality & Social Psychology, 1990, 58 (5): 909-17.
Jollant F, Lawrence N L, Olié, Emilie, et al. The Suicidal Mind and Brain: A Review of Neuropsychological and Neuroimaging Studies [J]. World Journal of Biological Psychiatry, 2011, 12 (5): 319-339.
Ye Huasong. A Study on the Management System of Psychological Crisis Intervention for College Students [J]. Research on Higher Education in Heilongjiang Province, 2008, 5: 141-143.
Wu Caihong. Risk Assessment and Crisis Intervention of Mental Health of College Students [J]. Journal of Hunan Institute of Finance and Economics, 2011, 4 (27): 143-145.
Pourshahriar, H. Correct vs. Accurate Prediction: A Comparison between Prediction Power of Artificial Neural Networks and Logistic Regression in Psychological Researches [J]. 4th International Conference of Cognitive Science, 2012, 32: 97-103.
Shan W, Zhou Q, Pan Y, et al. Forewarning Assessment of Psychological Crisis in Post-disaster Based on, Principal Component Analysis and Neural Network [C]. International Conference on Biomedical Engineering & Informatics. IEEE, 2010.
Luo Yongguo. Improved Genetic Algorithm Based Student Score Prediction Model [J]. Bulletin of Science and Technology, 2012, 10 (28): 223-225.
Chen Yong. Research and implementation of result prediction based on genetic neural network [J]. Modern Electronics Technique, 2016, 39 (5): 96-100.
Chen Haiying, Guo Qiao, XU Li. Prediction Method of 100 Sprint Performance Based on Hybrid Genetic Neural Network [J]. Computer Simulation, 2004, 2 (21): 89-91.
Vygowski. Educational Psychology (Chinese Edition) [M]. Hangzhou: Zhejiang Education Press, 2001.
Gu Guangling, Mao Dequan, Xu Zhenghong, Shi Yuqin. Thoughts on Constructing the Early warning System of College Students' Psychological Crisis [J]. Journal of Chuzhou University, 2006, 6: 108-109.
Guo Lan, Fu Anzhou, Huo Shaozhou. Research on Psychological Crisis and Early warning System of College Students [J]. Journal of China University of Geosciences (Social Science Edition), 2001, 3: 63-67.
Chen Xiang, Jia Jucai. A Study on College Students' Psychological Crisis and its Pre-warning Mechanism [J]. Educational Exploration, 2005, 6: 110-111.
Sun Lingfang, Zhou Jiapo, Lin Weijian, etc. On Network Public Opinion Crisis Early Warning Based on the BP Neural Network and Genetic Algorithm [J]. Intelligence Journal, 2014, 11, 33 (11): 18-24.