<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Clarifying the integration and communication path of Chinese traditional cultural design concepts and modern art design is beneficial to inherit Chinese traditional culture and innovate modern art design. This paper proposes an SD-AdaBoost classification model based on the AdaBoost algorithm, optimizes the algorithm’s design using the sample density method, and conducts a comparative performance analysis for the model. The SD-AdaBoost classification model is used to mine two research items, application path, and dissemination mode, for the fusion of Chinese traditional cultural concepts and modern art design communication, and relevant data analysis is presented. As far as the application carriers are concerned, they embody different values, but all reflect traditional Chinese cultural ideas. Regarding dissemination methods, social media, recommendation engines, and advertising are better ways to disseminate traditional Chinese cultural ideas and modern art design, accounting for 46.96%, 47.92%, and 45.47%, respectively. Based on the AdaBoost model, we can analyze the current dissemination path of Chinese traditional culture design ideas and grasp how we can better integrate and develop Chinese traditional culture and modern art and design ideas.</p>
</abstract>

Clarifying the integration and communication path of Chinese traditional cultural design concepts and modern art design is beneficial to inherit Chinese traditional culture and innovate modern art design. This paper proposes an SD-AdaBoost classification model based on the AdaBoost algorithm, optimizes the algorithm’s design using the sample density method, and conducts a comparative performance analysis for the model. The SD-AdaBoost classification model is used to mine two research items, application path, and dissemination mode, for the fusion of Chinese traditional cultural concepts and modern art design communication, and relevant data analysis is presented. As far as the application carriers are concerned, they embody different values, but all reflect traditional Chinese cultural ideas. Regarding dissemination methods, social media, recommendation engines, and advertising are better ways to disseminate traditional Chinese cultural ideas and modern art design, accounting for 46.96%, 47.92%, and 45.47%, respectively. Based on the AdaBoost model, we can analyze the current dissemination path of Chinese traditional culture design ideas and grasp how we can better integrate and develop Chinese traditional culture and modern art and design ideas.

A Modern Communication Path for Traditional Chinese Cultural Design Concepts Based on AdaBoost Model

Chengdu University of Information Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Clarifying the integration and communication path of Chinese traditional cultural design concepts and modern art design is beneficial to inherit Chinese...

A Modern Communication Path for Traditional Chinese Cultural Design Concepts Based on AdaBoost Model

Online veröffentlicht: 21. Juli 2023

Seitenbereich: -

Eingereicht: 20. Feb. 2022

Akzeptiert: 15. Sept. 2022

DOI: https://doi.org/10.2478/amns.2023.2.00068

Schlüsselwörter
AdaBoost model, Sample density method, Modern art design, Communication path

© 2023 Shuangyi Wu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

A Modern Communication Path for Traditional Chinese Cultural Design Concepts Based on AdaBoost Model

Online veröffentlicht: 21. Juli 2023

Seitenbereich: -

Eingereicht: 20. Feb. 2022

Akzeptiert: 15. Sept. 2022

DOI: https://doi.org/10.2478/amns.2023.2.00068

SchlüsselwörterAdaBoost model, Sample density method, Modern art design, Communication path

© 2023 Shuangyi Wu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
AdaBoost model, Sample density method, Modern art design, Communication path