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Aerodynamic Analysis and Training Research of an S-Shaped Arc Ball Based on Hydrodynamics

The aerodynamic characteristics of S-shaped arc ball, such as poor combat performance and low intelligence, are studied and analyzed. In this paper, the aerodynamic analysis model of S-shaped arc soccer intelligent algorithm is established, and the dynamic tracking model of Soccer Tactics Based on f...

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Detalles Bibliográficos
Autor principal: Si, Pinxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436619/
https://www.ncbi.nlm.nih.gov/pubmed/36060562
http://dx.doi.org/10.1155/2022/1088906
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author Si, Pinxin
author_facet Si, Pinxin
author_sort Si, Pinxin
collection PubMed
description The aerodynamic characteristics of S-shaped arc ball, such as poor combat performance and low intelligence, are studied and analyzed. In this paper, the aerodynamic analysis model of S-shaped arc soccer intelligent algorithm is established, and the dynamic tracking model of Soccer Tactics Based on fluid dynamics search algorithm is designed. The data information is collected from many aspects, such as the position of the players, the change of the arc ball movement, the trajectory of the football movement, and tactical flexibility. The results show that Benn's algorithm can start the layout mechanism effectively. It has high feasibility and accurate algorithm accuracy and can effectively improve the aerodynamic layout performance of the system. The aerodynamic analysis and training optimization method of the S-shaped arc ball based on ant colony optimization has sped up the intelligent training system of Chinese football tactics.
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spelling pubmed-94366192022-09-02 Aerodynamic Analysis and Training Research of an S-Shaped Arc Ball Based on Hydrodynamics Si, Pinxin Appl Bionics Biomech Research Article The aerodynamic characteristics of S-shaped arc ball, such as poor combat performance and low intelligence, are studied and analyzed. In this paper, the aerodynamic analysis model of S-shaped arc soccer intelligent algorithm is established, and the dynamic tracking model of Soccer Tactics Based on fluid dynamics search algorithm is designed. The data information is collected from many aspects, such as the position of the players, the change of the arc ball movement, the trajectory of the football movement, and tactical flexibility. The results show that Benn's algorithm can start the layout mechanism effectively. It has high feasibility and accurate algorithm accuracy and can effectively improve the aerodynamic layout performance of the system. The aerodynamic analysis and training optimization method of the S-shaped arc ball based on ant colony optimization has sped up the intelligent training system of Chinese football tactics. Hindawi 2022-08-25 /pmc/articles/PMC9436619/ /pubmed/36060562 http://dx.doi.org/10.1155/2022/1088906 Text en Copyright © 2022 Pinxin Si. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Si, Pinxin
Aerodynamic Analysis and Training Research of an S-Shaped Arc Ball Based on Hydrodynamics
title Aerodynamic Analysis and Training Research of an S-Shaped Arc Ball Based on Hydrodynamics
title_full Aerodynamic Analysis and Training Research of an S-Shaped Arc Ball Based on Hydrodynamics
title_fullStr Aerodynamic Analysis and Training Research of an S-Shaped Arc Ball Based on Hydrodynamics
title_full_unstemmed Aerodynamic Analysis and Training Research of an S-Shaped Arc Ball Based on Hydrodynamics
title_short Aerodynamic Analysis and Training Research of an S-Shaped Arc Ball Based on Hydrodynamics
title_sort aerodynamic analysis and training research of an s-shaped arc ball based on hydrodynamics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436619/
https://www.ncbi.nlm.nih.gov/pubmed/36060562
http://dx.doi.org/10.1155/2022/1088906
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