ERIC Number: EJ1428666
Record Type: Journal
Publication Date: 2024
Pages: 9
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1913-9020
EISSN: EISSN-1913-9039
Prediction of Physical Ability of College Students Based on the BP Neural Network
Xu Zhang
International Education Studies, v17 n3 p92-p100 2024
The prediction of physical ability is a key point to understand the physical training effect of college students. This paper uses the error Back Propagation neural network algorithms to investigate the college students' physical test results, and predicts the future trends of the results. The findings indicate that, in future ten years, the physical test grades of both men and women will slip to a certain extent. It implies that the indicators of speed, power, endurance level and physical strength of college students keep going down. This phenomenon should be paid attention to. It is necessary to strength the exercise consciousness, and stimulates the enthusiasm of students' exercise.
Descriptors: Foreign Countries, College Students, Exercise, Physical Activity Level, Physical Fitness, Neurological Organization, Brain, Physical Health, Scores, Predictive Measurement, Gender Differences, National Standards, Physical Education
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: China
Grant or Contract Numbers: N/A