Open Journal Systems

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

Haofeng Li, Jalaluddin Abdul Malek, Mohd Mahzan Awang

Article ID: 2185
Vol 9, Issue 5, 2024, Article identifier:

VIEWS - 258 (Abstract) 128 (PDF)

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.


Keywords

Preschool children; physical health monitoring; BP neural network

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DOI: https://doi.org/10.54517/esp.v9i5.2185
(258 Abstract Views, 128 PDF Downloads)

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Copyright (c) 2024 Haofeng Li, Jalaluddin Abdul Malek, Mohd Mahzan Awang

License URL: https://creativecommons.org/licenses/by/4.0/