Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

November 6, 2023


Pages


DOI

Article

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


Authors

Wenjie Wu Affiliation:
Sports Department, Suzhou University of Science and Technology, Suzhou, Jiangsu, 215009, China.


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.


Keywords

Deep learning model, Ethnic traditional sports, Cultural innovation, BERT model, Controlled experiment, 01A13


Citation

Wu, W. (2023). Revitalization and cultural innovation of ethnic traditional sports based on deep learning models. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.01016

Published by: Engineering Journals

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