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The Research of Chinese Martial Arts Cross-Media Communication System Based on Deep Neural Network
The spread of Chinese martial arts is crucial for the world to understand Chinese culture. If only relying on one transmission method, it will lead to the difference of transmission and its lack of certain real time. This will lead to differences in the understanding of Chinese martial arts, which i...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167069/ https://www.ncbi.nlm.nih.gov/pubmed/35669654 http://dx.doi.org/10.1155/2022/2835992 |
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author | Su, Yue Tian, Jing Zan, Xin |
author_facet | Su, Yue Tian, Jing Zan, Xin |
author_sort | Su, Yue |
collection | PubMed |
description | The spread of Chinese martial arts is crucial for the world to understand Chinese culture. If only relying on one transmission method, it will lead to the difference of transmission and its lack of certain real time. This will lead to differences in the understanding of Chinese martial arts, which is also not conducive to the spread of Chinese glorious culture. Cross-media communication technology can solve this communication difference problem very well. The deep neural network method was used to fuse relevant features of Chinese martial arts, and it also analyzes the feasibility of neural network technology in cross-media communication. At the same time, this study uses deep neural network to study the timeliness of Chinese martial arts in the process of cross-media communication. The research results show that the convolutional neural network can effectively extract the characteristics of Chinese martial arts and carry out effective dissemination. However, the hybrid convolutional neural network with temporal features has higher accuracy in extracting Chinese martial arts features. This hybrid convolutional neural network is more conducive to the dissemination of Chinese martial arts through cross-media technology, which can ensure its timeliness. The maximum error of deep neural network technology in predicting Chinese martial arts culture is only 2.67%. This part of the error comes from the action characteristics of Chinese martial arts culture, which shows that neural network technology has good feasibility. |
format | Online Article Text |
id | pubmed-9167069 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-91670692022-06-05 The Research of Chinese Martial Arts Cross-Media Communication System Based on Deep Neural Network Su, Yue Tian, Jing Zan, Xin Comput Intell Neurosci Research Article The spread of Chinese martial arts is crucial for the world to understand Chinese culture. If only relying on one transmission method, it will lead to the difference of transmission and its lack of certain real time. This will lead to differences in the understanding of Chinese martial arts, which is also not conducive to the spread of Chinese glorious culture. Cross-media communication technology can solve this communication difference problem very well. The deep neural network method was used to fuse relevant features of Chinese martial arts, and it also analyzes the feasibility of neural network technology in cross-media communication. At the same time, this study uses deep neural network to study the timeliness of Chinese martial arts in the process of cross-media communication. The research results show that the convolutional neural network can effectively extract the characteristics of Chinese martial arts and carry out effective dissemination. However, the hybrid convolutional neural network with temporal features has higher accuracy in extracting Chinese martial arts features. This hybrid convolutional neural network is more conducive to the dissemination of Chinese martial arts through cross-media technology, which can ensure its timeliness. The maximum error of deep neural network technology in predicting Chinese martial arts culture is only 2.67%. This part of the error comes from the action characteristics of Chinese martial arts culture, which shows that neural network technology has good feasibility. Hindawi 2022-05-28 /pmc/articles/PMC9167069/ /pubmed/35669654 http://dx.doi.org/10.1155/2022/2835992 Text en Copyright © 2022 Yue Su et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Su, Yue Tian, Jing Zan, Xin The Research of Chinese Martial Arts Cross-Media Communication System Based on Deep Neural Network |
title | The Research of Chinese Martial Arts Cross-Media Communication System Based on Deep Neural Network |
title_full | The Research of Chinese Martial Arts Cross-Media Communication System Based on Deep Neural Network |
title_fullStr | The Research of Chinese Martial Arts Cross-Media Communication System Based on Deep Neural Network |
title_full_unstemmed | The Research of Chinese Martial Arts Cross-Media Communication System Based on Deep Neural Network |
title_short | The Research of Chinese Martial Arts Cross-Media Communication System Based on Deep Neural Network |
title_sort | research of chinese martial arts cross-media communication system based on deep neural network |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167069/ https://www.ncbi.nlm.nih.gov/pubmed/35669654 http://dx.doi.org/10.1155/2022/2835992 |
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