Revitalization and Cultural Innovation of Ethnic Traditional Sports Based on Deep Learning Models

Author:

Wu Wenjie1

Affiliation:

1. 1 Sports Department , Suzhou University of Science and Technology , Suzhou , Jiangsu , , China .

Abstract

Abstract This paper first explores the revitalization of national traditional sports and cultural innovation and identifies the key to the definition of national traditional sports. Secondly, it explores the operation mechanism of sports and cultural co-innovation and proposes pathways for sports and cultural innovation. Then, the relationship between traditional ethnic sports and sports culture innovation was studied using the BERT model in the deep learning model. Finally, a controlled experiment was designed to test the comparison of students’ performance before and after learning about sports culture innovation, and the study showed that the performance was improved by 14.3506 and 13.6275, respectively, and that learning about sports culture innovation was effective in improving students’ deep learning ability. Testing the role of three different algorithms on the revitalization and cultural innovation of national traditional sports, the accuracy of the four indicators of BERT is 0.75, 0.78, 0.88 and 0.98, respectively, which is in the first place, and the accuracy of BERT is higher.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Reference18 articles.

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3. He, B. (2019). Research on the protection and development of qiang sports culture resources under the background of rural revitalization. Basic & clinical pharmacology & toxicology.(S1), 124.

4. Zhang, R. (2019). The generalized dice similarity measures for evaluating the development level of the mass sports culture organization with 2-tuple linguistic information. Journal of Intelligent and Fuzzy Systems, 37(2), 1-12.

5. Anastasiia, M., & Physical, C. (2017). Forming physical culture teachers’ motivation to study. Science & Education, 23(8), 150-156.

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