Prediction of Physical Ability of College Students Based on the BP Neural Network
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| Title: | Prediction of Physical Ability of College Students Based on the BP Neural Network |
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| 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 |
| 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. |
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| ISSN: | 1913-9020 1913-9039 |
