Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

October 9, 2023


Pages


DOI

Article

Research on the focus of national traditional sports culture inheritance based on weighted function algorithm

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Authors

Chengyuan Deng Affiliation:
School of Physical Education and Health, East China Normal University, Shanghai, 200062, China.
, Yang Liu Affiliation:
School of Physical Education, Nanchang Normal University, Nanchang, Jiangxi, 330032, China.
and Lifen Cheng Affiliation:
School of Physical Education, Nanchang Normal University, Nanchang, Jiangxi, 330032, China.


Abstract

In order to make the traditional national sports can be inherited in a lasting way, this paper focuses on the study of national traditional sports culture inheritance from the perspective of moral education. Firstly, we add the teaching content of traditional ethnic sports in physical education courses; secondly, we use the weight update method and base classifier in the weighting function to improve it. And finally, we use the system to conduct experiments. The results show that the teaching experiment of pearl ball as the teaching content of public physical education courses can better improve students’ performance in 4 qualities, and the improved teaching mode can promote students’ learning attitude towards physical education. From the perspective of cultural inheritance, it is of practical significance to explore the new mode of national traditional sports education in colleges and universities under the new conditions of the times in order to inherit traditional national sports and enrich the cultural connotation of college students.


Keywords

Weighting function algorithm, Traditional national sports, Base classifier, Weight update method, 01A13


Citation

Deng, C., Liu, Y., & Cheng, L. (2023). Research on the focus of national traditional sports culture inheritance based on weighted function algorithm. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00543
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