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Emei martial arts promotion model and properties based on neural network technology

China unanimously believed that Emei Martial Arts has the essence of self-improvement. It is a spiritual force that actively promotes human progress. It should be protected and continuously innovated to make it a spiritual pillar of people. However, its promotion faces huge challenges. In recent yea...

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Main Authors: Xing, Cheng, Abidin, Nor Eeza Zainal, Tang, Yudong
Format: Article
Published: Wiley-Hindawi 2022
Subjects:
GV Recreation Leisure
Online Access:http://eprints.um.edu.my/41086/
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spelling my.um.eprints.410862023-08-30T06:46:43Z http://eprints.um.edu.my/41086/ Emei martial arts promotion model and properties based on neural network technology Xing, Cheng Abidin, Nor Eeza Zainal Tang, Yudong GV Recreation Leisure China unanimously believed that Emei Martial Arts has the essence of self-improvement. It is a spiritual force that actively promotes human progress. It should be protected and continuously innovated to make it a spiritual pillar of people. However, its promotion faces huge challenges. In recent years, neural networks have made great progress in various fields, such as speech recognition, computer vision, and natural language understanding. On this basis, the combination of neural networks and traditional recommendation methods is helpful for the better development of Emei Martial Arts promotion. Neural networks have a direct analog interaction function and perform coordinated filtering directly through interactive data. Due to the effectiveness of the structure, the neural network can mine nonlinear implicit relationships from the data and find the martial arts items that users want to promote. In order to enhance the effectiveness of the standard recommendation algorithm, a deep neural network-based recommendation algorithm is paired with a neural network-based recommendation algorithm that is proposed in this article. The recall rate of the upgraded deep neural network recommendation model is up to 80%, whereas the recall rate of the model without enhancement is up to 40%, according to the experimental results of this article. The upgraded deep neural network's recommendation model has a recall rate that is 4% greater than the baseline model. It showed that the recommendation algorithm combined with a neural network has a better recommendation effect so as to achieve a better effect of Emei Martial Arts promotion so that Emei Martial Arts culture can be carried forward and economic development can be promoted at the same time. Wiley-Hindawi 2022-09 Article PeerReviewed Xing, Cheng and Abidin, Nor Eeza Zainal and Tang, Yudong (2022) Emei martial arts promotion model and properties based on neural network technology. International Transactions on Electrical Energy Systems, 2022. ISSN 2050-7038, DOI https://doi.org/10.1155/2022/6906844 <https://doi.org/10.1155/2022/6906844>. 10.1155/2022/6906844
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic GV Recreation Leisure
spellingShingle GV Recreation Leisure
Xing, Cheng
Abidin, Nor Eeza Zainal
Tang, Yudong
Emei martial arts promotion model and properties based on neural network technology
description China unanimously believed that Emei Martial Arts has the essence of self-improvement. It is a spiritual force that actively promotes human progress. It should be protected and continuously innovated to make it a spiritual pillar of people. However, its promotion faces huge challenges. In recent years, neural networks have made great progress in various fields, such as speech recognition, computer vision, and natural language understanding. On this basis, the combination of neural networks and traditional recommendation methods is helpful for the better development of Emei Martial Arts promotion. Neural networks have a direct analog interaction function and perform coordinated filtering directly through interactive data. Due to the effectiveness of the structure, the neural network can mine nonlinear implicit relationships from the data and find the martial arts items that users want to promote. In order to enhance the effectiveness of the standard recommendation algorithm, a deep neural network-based recommendation algorithm is paired with a neural network-based recommendation algorithm that is proposed in this article. The recall rate of the upgraded deep neural network recommendation model is up to 80%, whereas the recall rate of the model without enhancement is up to 40%, according to the experimental results of this article. The upgraded deep neural network's recommendation model has a recall rate that is 4% greater than the baseline model. It showed that the recommendation algorithm combined with a neural network has a better recommendation effect so as to achieve a better effect of Emei Martial Arts promotion so that Emei Martial Arts culture can be carried forward and economic development can be promoted at the same time.
format Article
author Xing, Cheng
Abidin, Nor Eeza Zainal
Tang, Yudong
author_facet Xing, Cheng
Abidin, Nor Eeza Zainal
Tang, Yudong
author_sort Xing, Cheng
title Emei martial arts promotion model and properties based on neural network technology
title_short Emei martial arts promotion model and properties based on neural network technology
title_full Emei martial arts promotion model and properties based on neural network technology
title_fullStr Emei martial arts promotion model and properties based on neural network technology
title_full_unstemmed Emei martial arts promotion model and properties based on neural network technology
title_sort emei martial arts promotion model and properties based on neural network technology
publisher Wiley-Hindawi
publishDate 2022
url http://eprints.um.edu.my/41086/
_version_ 1776247433153478656
score 13.211869

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