A Gravitational-Double Layer Extreme Learning Machine and its Application in Powerlifting Analysis
Powerlifting is a strength sport that is quite popular in the world. Powerlifters have their power levels varied at different ages and body weights, and their power levels are closely related to their performance. Therefore, studying the impact of age and weight on the performance of powerlifters is...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8854064/ |
| _version_ | 1819078753869889536 |
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| author | Vinh Huy Chau Anh Thu Vo Ba Tuan Le |
| author_facet | Vinh Huy Chau Anh Thu Vo Ba Tuan Le |
| author_sort | Vinh Huy Chau |
| collection | DOAJ |
| description | Powerlifting is a strength sport that is quite popular in the world. Powerlifters have their power levels varied at different ages and body weights, and their power levels are closely related to their performance. Therefore, studying the impact of age and weight on the performance of powerlifters is an important work. The traditional method relies mainly on artificial experience to judge the performance, and often does not get the desired results. In recent years, machine learning has developed rapidly, and applying machine learning in sports is a very interesting topic. This study is based on a new machine learning algorithm to construct a prediction model for the best performance of powerlifters. We propose a double-layer extreme learning machine based on affine transformation and two-layer extreme learning machine theory (AF-DELM). Then use a dynamic weight-gravitational search algorithm to improve the AF-DELM networks. The results show that the algorithm can better predict the performance and provide an effective predictive aid for the powerlifting competition. |
| first_indexed | 2024-12-21T19:18:07Z |
| format | Article |
| id | doaj.art-d75dacc90bcc4971b02dc2ad27e0f670 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-21T19:18:07Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-d75dacc90bcc4971b02dc2ad27e0f6702022-12-21T18:53:01ZengIEEEIEEE Access2169-35362019-01-01714399014399810.1109/ACCESS.2019.29448778854064A Gravitational-Double Layer Extreme Learning Machine and its Application in Powerlifting AnalysisVinh Huy Chau0Anh Thu Vo1Ba Tuan Le2https://orcid.org/0000-0003-2333-1948Ho Chi Minh City University of Physical Education and Sport, Ho Chi Minh City, VietnamHo Chi Minh City University of Physical Education and Sport, Ho Chi Minh City, VietnamInstitute of Research and Development, Duy Tan University, Da Nang, VietnamPowerlifting is a strength sport that is quite popular in the world. Powerlifters have their power levels varied at different ages and body weights, and their power levels are closely related to their performance. Therefore, studying the impact of age and weight on the performance of powerlifters is an important work. The traditional method relies mainly on artificial experience to judge the performance, and often does not get the desired results. In recent years, machine learning has developed rapidly, and applying machine learning in sports is a very interesting topic. This study is based on a new machine learning algorithm to construct a prediction model for the best performance of powerlifters. We propose a double-layer extreme learning machine based on affine transformation and two-layer extreme learning machine theory (AF-DELM). Then use a dynamic weight-gravitational search algorithm to improve the AF-DELM networks. The results show that the algorithm can better predict the performance and provide an effective predictive aid for the powerlifting competition.https://ieeexplore.ieee.org/document/8854064/Gravitational search algorithmgravitational-double layer extreme learning machinepowerlifting performanceprediction model |
| spellingShingle | Vinh Huy Chau Anh Thu Vo Ba Tuan Le A Gravitational-Double Layer Extreme Learning Machine and its Application in Powerlifting Analysis IEEE Access Gravitational search algorithm gravitational-double layer extreme learning machine powerlifting performance prediction model |
| title | A Gravitational-Double Layer Extreme Learning Machine and its Application in Powerlifting Analysis |
| title_full | A Gravitational-Double Layer Extreme Learning Machine and its Application in Powerlifting Analysis |
| title_fullStr | A Gravitational-Double Layer Extreme Learning Machine and its Application in Powerlifting Analysis |
| title_full_unstemmed | A Gravitational-Double Layer Extreme Learning Machine and its Application in Powerlifting Analysis |
| title_short | A Gravitational-Double Layer Extreme Learning Machine and its Application in Powerlifting Analysis |
| title_sort | gravitational double layer extreme learning machine and its application in powerlifting analysis |
| topic | Gravitational search algorithm gravitational-double layer extreme learning machine powerlifting performance prediction model |
| url | https://ieeexplore.ieee.org/document/8854064/ |
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