Open AccessApplication of SOM, BP Neural Network in Physical Health Assessment of Students
Author(s) -
Ning Miao,
Yong Lan,
Ming Lu,
Yun Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1861/1/012022
Subject(s) - artificial neural network , physical fitness , credibility , physical health , test (biology) , computer science , quality (philosophy) , physical test , cluster analysis , artificial intelligence , machine learning , psychology , physical therapy , medicine , mental health , mathematics , psychiatry , statistics , paleontology , philosophy , epistemology , political science , law , biology
At present, the physical fitness measurement carried out by the school is an important way to detect the students’ physical health. How to use the students’ physical fitness scores to scientifically and reasonably evaluate the students’ physical fitness and health. This paper attempts to apply BP neural network to evaluate students’ physical health, use software to study and train the designed network, establish the corresponding neural network model, and use SOM neural network clustering to analyze the results of physical health. And realize the physical health evaluation of physical test results. Analysis of the results shows that the BP neural network can evaluate the physical health of the physical test results and show the quality of the students’ physical quality. By using BP neural network to evaluate physical health, the method is operable and has wide practicability, and provides the basis for the credibility of physical health.