Analysis and Imitation Design of Artificial Intelligence Design Concept of Ancient Buildings
The extraction of Guangdong cultural elements and the optimization of artificial intelligence algorithm are an important link in the design and marketing of ancient buildings. High-quality modeling design helps to promote the economic development of ancient architecture design and has an important impact on the development of ancient architecture design. Nowadays, the research on the extraction of Guangdong cultural elements and the optimization of artificial intelligence algorithm mostly focuses on the direction of theoretical research, explaining color collocation, model selection and other aspects, lacks the analysis of imitation design analysis of Guangdong cultural elements extraction and artificial intelligence algorithm optimization, and ignores the direction of application influence of Guangdong cultural elements extraction. In order to further study the ancient architecture design of Guangdong cultural elements extraction and the actual influence of artificial intelligence algorithm optimization, this paper uses the method of combining qualitative and quantitative, using the principal component analysis optimization perceptual factor, combined with ancient imitation design of artificial intelligence algorithm analysis complete design case, the Guangdong cultural element extraction and artificial intelligence algorithm in the process of optimizing theory and practice to provide certain significance. The results show that: combined with ancient imitation design of artificial intelligence algorithm coefficient analysis, ancient architectural design of Guangdong cultural elements of extraction and artificial intelligence algorithm optimization has great influence, thus shows that in proportion, size, color, light, line, building logo, overall style and shape of correlation is stronger, the user satisfaction will be higher.
Authors
- Tianyi Zhang (ORCID: https://orcid.org/0009-0008-3361-9930)
Institutions
- Macau University of Science and Technology (MO)
Publication Details
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1109/ichora65333.2025.11017114
- Primary Topic
- Regional Development and Environment
- Type
- article
- Field-Weighted Citation Impact
- 0.00