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Prediction of Physical Ability of College Students Based on the BP Neural Network

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Bibliographic Details
Title: Prediction of Physical Ability of College Students Based on the BP Neural Network
Language: English
Authors: Xu Zhang
Source: International Education Studies. 2024 17(3):92-100.
Availability: Canadian Center of Science and Education. 1595 Sixteenth Ave Suite 301, Richmond Hill, Ontario, L4B 3N9 Canada. Tel: 416-642-2606 Ext 206; Fax: 416-642-2608; e-mail: ies@ccsenet.org; Web site: http://www.ccsenet.org/journal/index.php/ies
Peer Reviewed: Y
Page Count: 9
Publication Date: 2024
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
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
Geographic Terms: China
ISSN: 1913-9020
1913-9039
Abstract: 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.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1428666
Database: ERIC
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  Data: Canadian Center of Science and Education. 1595 Sixteenth Ave Suite 301, Richmond Hill, Ontario, L4B 3N9 Canada. Tel: 416-642-2606 Ext 206; Fax: 416-642-2608; e-mail: ies@ccsenet.org; Web site: http://www.ccsenet.org/journal/index.php/ies
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  Data: 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.
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      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: College Students
        Type: general
      – SubjectFull: Exercise
        Type: general
      – SubjectFull: Physical Activity Level
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      – SubjectFull: Physical Fitness
        Type: general
      – SubjectFull: Neurological Organization
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      – SubjectFull: Brain
        Type: general
      – SubjectFull: Physical Health
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      – SubjectFull: Scores
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      – SubjectFull: Predictive Measurement
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      – SubjectFull: Gender Differences
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      – SubjectFull: National Standards
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      – SubjectFull: Physical Education
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      – SubjectFull: China
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