Title: Psychological intervention of college students with unsupervised learning neural networks

Authors: Huixing Xi; Shilong Wu

Addresses: Information Centre, Anshan Normal University Liaoning China, Anshan, Liaoning, China ' Educational Science and Technology Institution, Anshan Normal University Liaoning China, Anshan, Liaoning, China

Abstract: To better explore the application of unsupervised learning neural networks in psychological interventions for college students, this study investigates the relationships among latent psychological variables from the perspective of neural networks. Firstly, college students' psychological crisis and intervention systems are analysed, identifying several shortcomings in traditional psychological interventions, such as a lack of knowledge dissemination and imperfect management systems. Secondly, employing the Human-Computer Interaction (HCI) approach, a structural equation model is constructed for unsupervised learning neural networks. Finally, this study further confirms the effectiveness of unsupervised learning neural networks in psychological interventions for college students. The results indicate that in psychological intervention for college students. Additionally, the weightings of the indicators at the criterion level are calculated to be 0.35, 0.27, 0.19, 0.11 and 0.1. Based on the results of HCI, an emergency response system for college students' psychological crises is established, and several intervention measures are proposed.

Keywords: unsupervised learning; neural network; psychological intervention; structural equation model; human-computer interaction.

DOI: 10.1504/IJCAT.2024.141964

International Journal of Computer Applications in Technology, 2024 Vol.74 No.3, pp.222 - 234

Received: 29 Aug 2023
Accepted: 11 Jan 2024
Published online: 03 Oct 2024 *

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