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Published

2024-02-06

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Vol. 9 No. 5 (2024)

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Research Articles

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How to Cite

Li, H., Malek, J. A., & Awang, M. M. (2024). Research on an intelligent assessment method for the physical health of preschool children based on the Artificial Neural Network (ANN) model. Environment and Social Psychology, 9(5). https://doi.org/10.54517/esp.v9i5.2185

Research on an intelligent assessment method for the physical health of preschool children based on the Artificial Neural Network (ANN) model

Haofeng Li

Faculty of Education, Universiti Kebangsaan Malaysia

Jalaluddin Abdul Malek

Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia

Mohd Mahzan Awang

Faculty of Education, Universiti Kebangsaan Malaysia


DOI: https://doi.org/10.54517/esp.v9i5.2185


Keywords: Preschool children, physical health monitoring, BP neural network

Abstract

This study aims to use the BP neural network model to predict the monthly total number of reported symptoms in preschool children, thereby achieving early warning for the total number of cases in the current month. By analyzing the training results of the neural network and the fitting of the model, the feasibility and effectiveness of the BP neural network in monitoring the physical health of preschool children are validated. The predictive model is of great significance for the prevention of infectious diseases in a border region of a certain province, providing important information for the local incidence situation. The research results indicate that the established BP neural network model demonstrates good accuracy and practicality in predicting the monthly total number of reported symptoms in preschool children’s physical health.

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