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

<p>In recent years, the national trend has become increasingly popular, and the art of national trend is the beginning of the production field’s skillful utilization of national art, dedication to category innovation, and making the product have a “root” and a “soul”. This paper combines the sparse principal component analysis method and the entropy weight TOPSIS comprehensive evaluation method to analyze the development level of national tide art in the context of the cultural and creative economy. At the same time, the VGG16 deep learning network is used to extract the depth features of style features in the images of Guochao art-related products, and the Softmax function is used to recognize and classify the features of style features of Guochao art to get the main style features of Guochao art industry. The study shows that the added value of Shaanxi Province’s Guochao art industry accounts for 4.14% of the province’s total GDP by 2023. The cultural, leisure, and entertainment service industry is developing rapidly, providing impetus for the development of the national tide art industry. Meanwhile, it is found that the style characteristics of Shaanxi Province’s national tide art industry appear to change with the development of the sector, and the Shanghai Fine Arts Factory style dominates the style characteristics by 2023 (0.359). This paper sets the foundation for the growth of the Guochao art industry and provides a useful reference for identifying style characteristics in the development of Guochao art.</p>
</abstract>

In recent years, the national trend has become increasingly popular, and the art of national trend is the beginning of the production field’s skillful utilization of national art, dedication to category innovation, and making the product have a “root” and a “soul”. This paper combines the sparse principal component analysis method and the entropy weight TOPSIS comprehensive evaluation method to analyze the development level of national tide art in the context of the cultural and creative economy. At the same time, the VGG16 deep learning network is used to extract the depth features of style features in the images of Guochao art-related products, and the Softmax function is used to recognize and classify the features of style features of Guochao art to get the main style features of Guochao art industry. The study shows that the added value of Shaanxi Province’s Guochao art industry accounts for 4.14% of the province’s total GDP by 2023. The cultural, leisure, and entertainment service industry is developing rapidly, providing impetus for the development of the national tide art industry. Meanwhile, it is found that the style characteristics of Shaanxi Province’s national tide art industry appear to change with the development of the sector, and the Shanghai Fine Arts Factory style dominates the style characteristics by 2023 (0.359). This paper sets the foundation for the growth of the Guochao art industry and provides a useful reference for identifying style characteristics in the development of Guochao art.

Exploring the Development Status and Stylistic Characteristics of National Wave Art Based on the Background of Cultural and Creative Economy

Yunnan Communications Vocational and Technical College

Applied Mathematics and Nonlinear Sciences

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

In recent years, the national trend has become increasingly popular, and the art of national trend is the beginning of the production field’s skillful...

Exploring the Development Status and Stylistic Characteristics of National Wave Art Based on the Background of Cultural and Creative Economy

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 06. Apr. 2024

Akzeptiert: 23. Juni 2024

DOI: https://doi.org/10.2478/amns-2024-1887

Schlüsselwörter
Entropy weight TOPSIS, Sparse principal component analysis, VGG16, Style features, National tide art

© 2024 Yan Wang., published by Sciendo

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

Exploring the Development Status and Stylistic Characteristics of National Wave Art Based on the Background of Cultural and Creative Economy

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 06. Apr. 2024

Akzeptiert: 23. Juni 2024

DOI: https://doi.org/10.2478/amns-2024-1887

SchlüsselwörterEntropy weight TOPSIS, Sparse principal component analysis, VGG16, Style features, National tide art

© 2024 Yan Wang., published by Sciendo

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

Schlüsselwörter
Entropy weight TOPSIS, Sparse principal component analysis, VGG16, Style features, National tide art