Optimization simulation of sports stadium training based on Ant colony algorithm and sensor network
The powerful functions of artificial intelligence make it a representative of advanced information technology. At the same time, the application of new technologies has also become an important driver to promote the gradual intelligentization of sports venues. The intelligentization of sports venues...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-06-01
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| Series: | Measurement: Sensors |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S266591742400076X |
| _version_ | 1797259698892701696 |
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| author | Guangya Chen Huifang Wu |
| author_facet | Guangya Chen Huifang Wu |
| author_sort | Guangya Chen |
| collection | DOAJ |
| description | The powerful functions of artificial intelligence make it a representative of advanced information technology. At the same time, the application of new technologies has also become an important driver to promote the gradual intelligentization of sports venues. The intelligentization of sports venues also fully reflects the technological innovation and application of the information technology era.As an important part of the development of sports industrialization, the construction of sports venues has also undergone tremendous changes with the development of sports industrialization, but sports venues there are certain problems in the specific implementation of the construction and design strategies of the sports industry, which are inseparable from the policies for the development of sports industrialization. The design of stadiums should meet the needs of sports competitions as much as possible, so this paper uses ant colony algorithm and artificial intelligence to simulate and analyze the design of sports stadiums. In the process of analysis, this article uses the ant colony algorithm to build a model of the competition venue, and uses the big data and cloud computing technology contained in artificial intelligence technology to analyze the development of sports competition venues, and finally to promote sports the development of industrialization provides a substantial reference. In general, the use of ant colony algorithm and artificial intelligence technology can provide a more reliable simulation method for the design of sports venues. |
| first_indexed | 2024-04-24T23:13:34Z |
| format | Article |
| id | doaj.art-483725c043aa4cada63ec2bd0f6c4c6e |
| institution | Directory Open Access Journal |
| issn | 2665-9174 |
| language | English |
| last_indexed | 2024-04-24T23:13:34Z |
| publishDate | 2024-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Measurement: Sensors |
| spelling | doaj.art-483725c043aa4cada63ec2bd0f6c4c6e2024-03-17T07:58:45ZengElsevierMeasurement: Sensors2665-91742024-06-0133101100Optimization simulation of sports stadium training based on Ant colony algorithm and sensor networkGuangya Chen0Huifang Wu1Sports Department, Shijiazhuang Information Engineering Vocational College, Shijiazhuang, Hebei, 050000, ChinaCorresponding author.; Sports Department, Shijiazhuang Information Engineering Vocational College, Shijiazhuang, Hebei, 050000, ChinaThe powerful functions of artificial intelligence make it a representative of advanced information technology. At the same time, the application of new technologies has also become an important driver to promote the gradual intelligentization of sports venues. The intelligentization of sports venues also fully reflects the technological innovation and application of the information technology era.As an important part of the development of sports industrialization, the construction of sports venues has also undergone tremendous changes with the development of sports industrialization, but sports venues there are certain problems in the specific implementation of the construction and design strategies of the sports industry, which are inseparable from the policies for the development of sports industrialization. The design of stadiums should meet the needs of sports competitions as much as possible, so this paper uses ant colony algorithm and artificial intelligence to simulate and analyze the design of sports stadiums. In the process of analysis, this article uses the ant colony algorithm to build a model of the competition venue, and uses the big data and cloud computing technology contained in artificial intelligence technology to analyze the development of sports competition venues, and finally to promote sports the development of industrialization provides a substantial reference. In general, the use of ant colony algorithm and artificial intelligence technology can provide a more reliable simulation method for the design of sports venues.http://www.sciencedirect.com/science/article/pii/S266591742400076XAnt colony algorithmArtificial intelligenceStadiumsVenue model |
| spellingShingle | Guangya Chen Huifang Wu Optimization simulation of sports stadium training based on Ant colony algorithm and sensor network Measurement: Sensors Ant colony algorithm Artificial intelligence Stadiums Venue model |
| title | Optimization simulation of sports stadium training based on Ant colony algorithm and sensor network |
| title_full | Optimization simulation of sports stadium training based on Ant colony algorithm and sensor network |
| title_fullStr | Optimization simulation of sports stadium training based on Ant colony algorithm and sensor network |
| title_full_unstemmed | Optimization simulation of sports stadium training based on Ant colony algorithm and sensor network |
| title_short | Optimization simulation of sports stadium training based on Ant colony algorithm and sensor network |
| title_sort | optimization simulation of sports stadium training based on ant colony algorithm and sensor network |
| topic | Ant colony algorithm Artificial intelligence Stadiums Venue model |
| url | http://www.sciencedirect.com/science/article/pii/S266591742400076X |
| work_keys_str_mv | AT guangyachen optimizationsimulationofsportsstadiumtrainingbasedonantcolonyalgorithmandsensornetwork AT huifangwu optimizationsimulationofsportsstadiumtrainingbasedonantcolonyalgorithmandsensornetwork |