The impact of preschool children’s physical fitness evaluation under self organizing maps neural network

The impact of preschool children’s physical fitness evaluation under self organizing maps neural network

Abstract To improve the scientific accuracy and precision of children’s physical fitness evaluations, this study proposes a model that combines self-organizing maps (SOM) neural networks with cluster analysis. Existing evaluation methods often rely on traditional, single statistical analyses, which...

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Bibliographic Details
Main Authors: Lili Wang, Wenjun Zou, Yuxuan Wang, Denise Koh, Wan Ahmad Munsif Bin Wan Pa, Rujiu Gao
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
SOM neural network
Cluster analysis
Evaluation of children’s physical fitness
Data dimensionality reduction
Personalized health interventions
Assessment of physical fitness of young children
Online Access:https://doi.org/10.1038/s41598-025-85725-5
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https://doi.org/10.1038/s41598-025-85725-5

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