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RETRACTED ARTICLE: Optimization analysis of sport pattern driven by machine learning and multi-agent

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This article was retracted on 12 December 2022

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Abstract

The intelligent simulation of Sports can match the actual game and is of great significance to the development of Sports. Sports is a system in which multiple agents work together. Compared with a single agent, the learning space of multiple agents increases sharply as the number of agents increases, so the learning difficulty increases. Therefore, based on machine learning technology, this study combines with the actual situation to build a Sports simulation system. Moreover, after establishing a more reasonable team defensive formation and strategy, the overall movement of the agent is optimized, and the corresponding structural model has been established in combination with various actions. In addition, this study designs a controlled trial to analyze the performance of the model. The research shows that the proposed method has certain effects and can provide theoretical reference for subsequent related research.

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Acknowledgements

This work was supported by National Ethnic Affairs Commission Fund Program (No.2019-GMD-061) and Shandong Social Science Planning Fund Program (18CQXJ33).

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Authors and Affiliations

  1. School of Sport Social Science, Shandong Sport University, Jinan, 250102, China

    Hao Wang & Chen Dong

  2. Beihang University, Beijing, 100191, China

    Yuming Fu

Authors
  1. Hao Wang
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  2. Chen Dong
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  3. Yuming Fu
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Correspondence to Chen Dong.

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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s00521-022-08150-z"

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Wang, H., Dong, C. & Fu, Y. RETRACTED ARTICLE: Optimization analysis of sport pattern driven by machine learning and multi-agent. Neural Comput & Applic 33, 1067–1077 (2021). https://doi.org/10.1007/s00521-020-05022-2

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  • DOI: https://doi.org/10.1007/s00521-020-05022-2

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