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Analysis of the Importance and Influence of Student Mental Health Based on Neural Networks

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  • Pinni Liu

    (Hunan Mass Media Vocational and Technical College, China)

Abstract

With the rapid development of neural network has been widely used in major research areas, this paper will neural network convolution layer structure into the importance of students' mental health and influencing factors. In order to analyze the influencing factors of students' mental health, this paper analyzes the mental health status of different students from the perspective of neural network. Firstly, the main definitions and concepts of students' mental health are put forward, and the methods of evaluating and measuring mental health are analyzed. Secondly, the related structure of neural network and two different neural network model algorithms are described in detail, and the forward propagation and backward propagation algorithms of neural network are proposed (which provide support for the data research through neural network later). Finally, the correlation function of neural network is used to analyze the influencing factors of contemporary students' mental health.

Suggested Citation

  • Pinni Liu, 2022. "Analysis of the Importance and Influence of Student Mental Health Based on Neural Networks," International Journal of Information Systems in the Service Sector (IJISSS), IGI Global, vol. 14(3), pages 1-19, July.
    • Handle: RePEc:igg:jisss0:v:14:y:2022:i:3:p:1-19
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