Author
Listed:
- Wei Lun Shan
- Rong Mei Jin
- Xian Yao Ding
- Lianhui Li
Abstract
Since the twenty-first century, with the improvement of China’s comprehensive national strength and cultural confidence, our country has paid more and more attention to the protection and development of Chinese traditional culture, and more and more attention to the protection and development of China’s traditional culture, traditional culture has no longer become a simple symbol in history books but has gradually entered people’s daily life with the characteristics of vitality and gradually evolved into various characteristics and forms and integrated into all walks of life. Under the background of the evolution of this culture, this paper discusses the application of Chinese decorative color for interior decoration design and puts forward an application model of Chinese decorative color for interior design based on the AlexNet network improved by Adam, BN, dropout, and data enhancement optimization algorithm. Through analysis, it is found that the AlexNet network improved based on the above optimization algorithm has a good application prospect for interior decoration design. For the traditional AlexNet network, the improved AlexNet network is obviously better than the traditional AlexNet network in color extraction and can greatly reduce the loss value in the process of color recognition, up to 70.77%. Finally, the application forms and decorative functions of Chinese decorative color elements based on the improved AlexNet network in interior decoration design are analyzed. Relevant research can not only promote the integration of new and new technologies into traditional art but also effectively carry forward Chinese traditional culture and promote the internationalization of Chinese color.
Suggested Citation
Wei Lun Shan & Rong Mei Jin & Xian Yao Ding & Lianhui Li, 2022.
"Chinese Decorative Color Based on Improved AlexNet in Interior Decoration Design,"
Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-10, September.
Handle:
RePEc:hin:jnlmpe:2358905
DOI: 10.1155/2022/2358905
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