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Computational analysis of traditional architectural elements impact on AI-generated designs


Citation

Jin, Deran and Zairul, Mohd and Salih, Sarah Abdulkareem (2024) Computational analysis of traditional architectural elements impact on AI-generated designs. Operational Research in Engineering Sciences: Theory and Applications, 7 (1). pp. 178-199. ISSN 2620-1607; eISSN: 2620-1747

Abstract

Artificial intelligence technology and related industries have flourished in recent years, and the application of AI-generated design in architectural design has become more and more widespread. At the same time, today's society has higher and higher requirements for modern architectural design. In contrast, traditional architectural elements contain national characteristics and regional features and carry the excellent history and culture of humanity. In order to effectively inherit the superb culture, optimize architectural design, and promote the progress of modern architecture, it is imperative to integrate traditional architectural elements into modern architectural design. Based on this, the main research goal of this paper is to combine traditional architectural elements and modern architectural design with the help of computer neural network technology so as to make the contemporary architectural design style more diversified in order to provide more architectural design methods and architectural design concepts for the relevant staff.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Design and Architecture
Institute for Social Science Studies
DOI Number: https://doi.org/10.31181/oresta/070109
Publisher: Regional Association for Security and Crisis Management
Keywords: Architectural design; Artificial intelligence; Computer neural networks; Traditional architectural elements
Depositing User: Mr. Mohamad Syahrul Nizam Md Ishak
Date Deposited: 26 Nov 2024 02:43
Last Modified: 26 Nov 2024 02:43
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.31181/oresta/070109
URI: http://psasir.upm.edu.my/id/eprint/113513
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