Research on Information Processing System of Sports Combination Training Model Based on Machine Learning and Neural Network
Information processing systems in sports and training applications are backboned by artificial intelligence for non-human intervening and accurate analysis. The fitness, performance, etc. outcomes are delivered by the system through learning implications over the different inputs. However, the reco...
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| Format: | Article |
| Language: | English |
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Nicolaus Copernicus University in Toruń
2024-12-01
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| Series: | Quality in Sport |
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| Online Access: | https://apcz.umk.pl/QS/article/view/57176 |
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| _version_ | 1841560938393632768 |
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| author | Songmao Yu Lei Wang Tianwei Li |
| author_facet | Songmao Yu Lei Wang Tianwei Li |
| author_sort | Songmao Yu |
| collection | DOAJ |
| description |
Information processing systems in sports and training applications are backboned by artificial intelligence for non-human intervening and accurate analysis. The fitness, performance, etc. outcomes are delivered by the system through learning implications over the different inputs. However, the recommendation/ prediction outcomes are down-surged in analyzing similar information due to learning complexity and non-adaptable outcome. Therefore, the problem is resolved by fragmenting and processing the information using a similarity measure. Therefore, this method is named as Sliced-Information Processing with Analogous Learning (SIP-AL). In this method, a neural network is used for deciding the processing feature for better accuracy. In the contrary case of down-surges, the information slicing based on an analogous point is performed. This prevents the continuity between redundant and continuous data preventing errors.
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| format | Article |
| id | doaj-art-0def6361126e4d26b3e370ebd4461f70 |
| institution | Kabale University |
| issn | 2450-3118 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nicolaus Copernicus University in Toruń |
| record_format | Article |
| series | Quality in Sport |
| spelling | doaj-art-0def6361126e4d26b3e370ebd4461f702025-01-03T08:22:09ZengNicolaus Copernicus University in ToruńQuality in Sport2450-31182024-12-013310.12775/QS.2024.33.57176Research on Information Processing System of Sports Combination Training Model Based on Machine Learning and Neural NetworkSongmao Yu0https://orcid.org/0009-0004-2168-5798Lei Wang1Tianwei Li2Institute of Physical Education, Southwest University, Chongqing, ChinaInstitute of Physical Education, Southwest University, Chongqing, ChinaInstitute of Physical Education, Southwest University, Chongqing, China Information processing systems in sports and training applications are backboned by artificial intelligence for non-human intervening and accurate analysis. The fitness, performance, etc. outcomes are delivered by the system through learning implications over the different inputs. However, the recommendation/ prediction outcomes are down-surged in analyzing similar information due to learning complexity and non-adaptable outcome. Therefore, the problem is resolved by fragmenting and processing the information using a similarity measure. Therefore, this method is named as Sliced-Information Processing with Analogous Learning (SIP-AL). In this method, a neural network is used for deciding the processing feature for better accuracy. In the contrary case of down-surges, the information slicing based on an analogous point is performed. This prevents the continuity between redundant and continuous data preventing errors. https://apcz.umk.pl/QS/article/view/57176Data SlicingInformation ProcessingNeural NetworkSports Training Introduction |
| spellingShingle | Songmao Yu Lei Wang Tianwei Li Research on Information Processing System of Sports Combination Training Model Based on Machine Learning and Neural Network Quality in Sport Data Slicing Information Processing Neural Network Sports Training Introduction |
| title | Research on Information Processing System of Sports Combination Training Model Based on Machine Learning and Neural Network |
| title_full | Research on Information Processing System of Sports Combination Training Model Based on Machine Learning and Neural Network |
| title_fullStr | Research on Information Processing System of Sports Combination Training Model Based on Machine Learning and Neural Network |
| title_full_unstemmed | Research on Information Processing System of Sports Combination Training Model Based on Machine Learning and Neural Network |
| title_short | Research on Information Processing System of Sports Combination Training Model Based on Machine Learning and Neural Network |
| title_sort | research on information processing system of sports combination training model based on machine learning and neural network |
| topic | Data Slicing Information Processing Neural Network Sports Training Introduction |
| url | https://apcz.umk.pl/QS/article/view/57176 |
| work_keys_str_mv | AT songmaoyu researchoninformationprocessingsystemofsportscombinationtrainingmodelbasedonmachinelearningandneuralnetwork AT leiwang researchoninformationprocessingsystemofsportscombinationtrainingmodelbasedonmachinelearningandneuralnetwork AT tianweili researchoninformationprocessingsystemofsportscombinationtrainingmodelbasedonmachinelearningandneuralnetwork |