Digital leisure sports help to revitalise the culture of beautiful villages

In this paper, a platform for digital leisure sports services is built using digital information technology in the context of the new economy. Plain Bayesian classification is used to classify sports information based on its features, and the target value is assigned based on the feature vector. The...

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Main Authors: Wu Jiafa, Dusaran Mariphe M.
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
Online Access:https://doi.org/10.2478/amns.2023.2.01119
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author Wu Jiafa
Dusaran Mariphe M.
author_facet Wu Jiafa
Dusaran Mariphe M.
author_sort Wu Jiafa
collection DOAJ
description In this paper, a platform for digital leisure sports services is built using digital information technology in the context of the new economy. Plain Bayesian classification is used to classify sports information based on its features, and the target value is assigned based on the feature vector. The RBF algorithm is introduced to transform the information into measurable data, and the target weights are updated using the energy function. The results indicate that the villagers exercised for 5 hours each day on the platform, and the BMI pass rate of villagers of different age groups exceeded 70%. The digital innovation of leisure sports has a greater effect on the psychology and physiology of villagers and is a strong fit for the prosperity and revitalization of rural culture.
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spelling doaj.art-a464dc2f40a347208ba3851df55917412024-01-29T08:52:39ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.01119Digital leisure sports help to revitalise the culture of beautiful villagesWu Jiafa0Dusaran Mariphe M.11Anhui Normal University Physical Education Institute, Wuhu, Anhui, 241003, China.2Department of Education, San Jose Occidental Mindoro, 999005, Philippines.In this paper, a platform for digital leisure sports services is built using digital information technology in the context of the new economy. Plain Bayesian classification is used to classify sports information based on its features, and the target value is assigned based on the feature vector. The RBF algorithm is introduced to transform the information into measurable data, and the target weights are updated using the energy function. The results indicate that the villagers exercised for 5 hours each day on the platform, and the BMI pass rate of villagers of different age groups exceeded 70%. The digital innovation of leisure sports has a greater effect on the psychology and physiology of villagers and is a strong fit for the prosperity and revitalization of rural culture.https://doi.org/10.2478/amns.2023.2.01119digital information technologyleisure sportsplain bayesian classificationrbf algorithmrural cultural revitalization01a13
spellingShingle Wu Jiafa
Dusaran Mariphe M.
Digital leisure sports help to revitalise the culture of beautiful villages
Applied Mathematics and Nonlinear Sciences
digital information technology
leisure sports
plain bayesian classification
rbf algorithm
rural cultural revitalization
01a13
title Digital leisure sports help to revitalise the culture of beautiful villages
title_full Digital leisure sports help to revitalise the culture of beautiful villages
title_fullStr Digital leisure sports help to revitalise the culture of beautiful villages
title_full_unstemmed Digital leisure sports help to revitalise the culture of beautiful villages
title_short Digital leisure sports help to revitalise the culture of beautiful villages
title_sort digital leisure sports help to revitalise the culture of beautiful villages
topic digital information technology
leisure sports
plain bayesian classification
rbf algorithm
rural cultural revitalization
01a13
url https://doi.org/10.2478/amns.2023.2.01119
work_keys_str_mv AT wujiafa digitalleisuresportshelptorevitalisethecultureofbeautifulvillages
AT dusaranmariphem digitalleisuresportshelptorevitalisethecultureofbeautifulvillages