Aerobics Characteristics Analysis and Auxiliary Training Efficiency Improvement Method Based on Deep Learning. (2nd August 2022)
- Record Type:
- Journal Article
- Title:
- Aerobics Characteristics Analysis and Auxiliary Training Efficiency Improvement Method Based on Deep Learning. (2nd August 2022)
- Main Title:
- Aerobics Characteristics Analysis and Auxiliary Training Efficiency Improvement Method Based on Deep Learning
- Authors:
- Wang, Jiwen
Wang, Bingxue
Wan, Shuli - Other Names:
- Leung Man Fai Academic Editor.
- Abstract:
- Abstract : Aerobic exercise is the predecessor of aerobics. Aerobics is a kind of young and energetic sports, although it is only is popular in recent years, but because of its strong ornamental, very beautiful, so many people like it. Now, the characteristic of sports development is to integrate competitive sports into schools, and the establishment of high-level sports teams in Chinese colleges and universities is the need of the current development trend and adapts to the trend of the times. Many colleges and universities have invested a lot of time, money, and energy. It is to set up a high-level sports team. It has provided great help to physical education and athletes. Therefore, it is very beneficial to the sustainable development of aerobics of high-level sports teams in colleges and universities to compare, analyze, and study the aerobic training methods of high-level sports teams in colleges and universities, and find out the existing problems in current training, correct them in time, and find out more suitable training methods.
- Is Part Of:
- Mathematical problems in engineering. Volume 2022(2022)
- Journal:
- Mathematical problems in engineering
- Issue:
- Volume 2022(2022)
- Issue Display:
- Volume 2022, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 2022
- Issue:
- 2022
- Issue Sort Value:
- 2022-2022-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-08-02
- Subjects:
- Engineering mathematics -- Periodicals
510.2462 - Journal URLs:
- https://www.hindawi.com/journals/mpe/ ↗
http://www.gbhap-us.com/journals/238/238-top.htm ↗ - DOI:
- 10.1155/2022/6073855 ↗
- Languages:
- English
- ISSNs:
- 1024-123X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 23563.xml