Effect of Bodybuilding and Fitness Exercise on Physical Fitness Based on Deep Learning
- PMID: 35774151
- PMCID: PMC9239833
- DOI: 10.1155/2022/3891109
Effect of Bodybuilding and Fitness Exercise on Physical Fitness Based on Deep Learning
Retraction in
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Retracted: Effect of Bodybuilding and Fitness Exercise on Physical Fitness Based on Deep Learning.Emerg Med Int. 2023 Aug 9;2023:9821382. doi: 10.1155/2023/9821382. eCollection 2023. Emerg Med Int. 2023. PMID: 37593418 Free PMC article.
Abstract
With the rapid development of society and economy, people's living standards are improving day by day, and increasingly attention is paid to physical health, which has set off a fitness upsurge. The purpose of this paper was to analyze the impact of bodybuilding exercise on physical fitness based on deep learning. It provides a reference for fitness enthusiasts to choose scientific and targeted exercise methods, and provides a theoretical basis for the promotion of bodybuilding and fitness. This paper first gives a general introduction to deep learning and adds image segmentation technology to design experiments for bodybuilding and fitness. The experiment was divided into groups A and B, and control group C. In this paper, recurrent neural network and gated recurrent neural network are introduced to compare and analyze the data, and the stability of data processing with different activation functions is compared. The data results show that under the scientific and reasonable arrangement of exercise conditions, bodybuilding and fitness exercises have a corresponding positive effect on the body shape and posture of the subjects. It is more practical to choose a combination of aerobic and anaerobic exercise. In this paper, based on the deep learning algorithm, compared with the recurrent neural network, the gated recurrent neural network is more suitable for processing sequence problems. In the experimental analysis part, this paper compares and analyzes the experimental results of the data under different activation functions, sigmoid function, and tanh function. It is found that the tanh activation function and the gated recurrent neural network are more stable for data processing. The highest AUC value of the traditional recurrent neural network differs by 0.78 from the highest AUC value of the gated recurrent neural network. The data analysis results are in line with the actual situation.
Copyright © 2022 Manman Sun and Lijun Wang.
Conflict of interest statement
The authors declare that they have no conflicts of interest.
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References
-
- Dobrescu T. The students’ perception of practicing bodybuilding considering the definition of fitness for the future sports trainers. New Trends and Issues Proceedings on Humanities and Social Sciences . 2018;5(1):49–56.
-
- Kashuba V., Andrieieva O., Hakman A., Grygus I., Zukow W. Impact of aquafitness training on physical condition of early adulthood women. Teorìâ ta Metodika Fìzičnogo Vihovannâ . 2021;21(2):152–157.
-
- Gong M., Zhao J., Liu J., Miao Q., Jiao L. Change detection in synthetic aperture radar images based on deep neural networks. IEEE Transactions on Neural Networks and Learning Systems . 2017;27(1):125–138. - PubMed
-
- Bo W., Li K., Yang M., Lee C. H. A reverberation-time-aware approach to speech dereverberation based on deep neural networks. IEEE/ACM Transactions on Audio Speech & Language Processing . 2017;25(99):102–111.
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