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Research on Early Warning Model of College Students' Psychological Crisis Based on Genetic BP Neural Network

Received: 26 October 2019     Accepted: 18 November 2019     Published: 26 November 2019
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Abstract

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.

Published in American Journal of Applied Psychology (Volume 8, Issue 6)
DOI 10.11648/j.ajap.20190806.12
Page(s) 112-120
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

College Student, Psychological Crisis Early Warning Model, Genetic BP Neural Network

References
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[7] 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.
[8] 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.
[9] 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.
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Cite This Article
  • APA Style

    Jia Wang, Zijie Zhang, Haiji Luo, Yinghao Liu, Wei Chen, et al. (2019). Research on Early Warning Model of College Students' Psychological Crisis Based on Genetic BP Neural Network. American Journal of Applied Psychology, 8(6), 112-120. https://doi.org/10.11648/j.ajap.20190806.12

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    ACS Style

    Jia Wang; Zijie Zhang; Haiji Luo; Yinghao Liu; Wei Chen, et al. Research on Early Warning Model of College Students' Psychological Crisis Based on Genetic BP Neural Network. Am. J. Appl. Psychol. 2019, 8(6), 112-120. doi: 10.11648/j.ajap.20190806.12

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    AMA Style

    Jia Wang, Zijie Zhang, Haiji Luo, Yinghao Liu, Wei Chen, et al. Research on Early Warning Model of College Students' Psychological Crisis Based on Genetic BP Neural Network. Am J Appl Psychol. 2019;8(6):112-120. doi: 10.11648/j.ajap.20190806.12

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  • @article{10.11648/j.ajap.20190806.12,
      author = {Jia Wang and Zijie Zhang and Haiji Luo and Yinghao Liu and Wei Chen and Gang Wei},
      title = {Research on Early Warning Model of College Students' Psychological Crisis Based on Genetic BP Neural Network},
      journal = {American Journal of Applied Psychology},
      volume = {8},
      number = {6},
      pages = {112-120},
      doi = {10.11648/j.ajap.20190806.12},
      url = {https://doi.org/10.11648/j.ajap.20190806.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajap.20190806.12},
      abstract = {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.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - Research on Early Warning Model of College Students' Psychological Crisis Based on Genetic BP Neural Network
    AU  - Jia Wang
    AU  - Zijie Zhang
    AU  - Haiji Luo
    AU  - Yinghao Liu
    AU  - Wei Chen
    AU  - Gang Wei
    Y1  - 2019/11/26
    PY  - 2019
    N1  - https://doi.org/10.11648/j.ajap.20190806.12
    DO  - 10.11648/j.ajap.20190806.12
    T2  - American Journal of Applied Psychology
    JF  - American Journal of Applied Psychology
    JO  - American Journal of Applied Psychology
    SP  - 112
    EP  - 120
    PB  - Science Publishing Group
    SN  - 2328-5672
    UR  - https://doi.org/10.11648/j.ajap.20190806.12
    AB  - 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.
    VL  - 8
    IS  - 6
    ER  - 

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Author Information
  • College of Medical Informatics, Chongqing Medical University, Chongqing, China

  • College of Medical Informatics, Chongqing Medical University, Chongqing, China

  • College of Medical Informatics, Chongqing Medical University, Chongqing, China

  • College of Medical Informatics, Chongqing Medical University, Chongqing, China

  • College of Medical Informatics, Chongqing Medical University, Chongqing, China

  • College of Electrical Engineering, Chongqing University of Science Technology, Chongqing, China

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