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Applying Deep Learning Networks to Identify Optimized Paths in Gymnastic Movement Techniques

Dan Mo

Dan Mo

College of Sports Arts, Jilin Sport UniversityChangchun, China
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Mo, Dan
, 
Yintong Wang

Yintong Wang

Graduate Office, Jilin Sport UniversityChangchun, China
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Wang, Yintong
 and 
Bowen Zhang

Bowen Zhang

Department of Physical Education, Hebei Software Vocational and Technical CollegeBaoding, China
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Zhang, Bowen
  
Mar 17, 2025
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Published Online: Mar 17, 2025
Received: Oct 10, 2024
Accepted: Feb 01, 2025
DOI: https://doi.org/10.2478/amns-2025-0265
Keywords
© 2025 Dan Mo et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Mo, Dan
College of Sports Arts, Jilin Sport UniversityChangchun, China
Wang, Yintong
Graduate Office, Jilin Sport UniversityChangchun, China
Zhang, Bowen
Department of Physical Education, Hebei Software Vocational and Technical CollegeBaoding, China
Language:
English
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1 times per year
Journal Subjects:
Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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