基于CiteSpace可视化分析的建筑设计领域人工智能应用研究OA
Research on the application of artificial intelligence in the field of architectural design based on CiteSpace visual analysis
基于中国知网(CNKI)数据库,以人工智能和建筑设计为主题,比较2014-2024年该主题领域的研究成果和文献数据,对研究主题、基础文献、发展趋势和研究前沿进行了深入探究.通过CiteSpace科学可视化软件进行了定性和定量分析以及通过词频分析、聚类分析和时间轴分析,探讨了专题研究热点及其演变.通过解读可视化知识图谱发现,人工智能在建筑设计的研究趋势主要集中在建筑设计、深度学习、景观设计、机器学习等领域.
Based on the China National Knowledge Infrastructure(CNKI)database,this study compares the research achievements and literature data in the field of artificial intelligence and architectural design from 2014 to 2024.It conducts an in-depth exploration of research topics,foundational literature,development trends,and research frontiers.Using CiteSpace scientific visualization software,the study performs qualitative and quantitative analyses,as well as frequency analysis,cluster analysis,and timeline analysis,to investigate the research hotspots and their evolution in this field.By interpreting the visualized knowledge maps,it is found that the research trends of artificial intelligence in architectural design mainly focus on areas such as architectural design,deep learning,landscape design,and machine learning.
郑凯;丁炜
南京工业大学建筑学院,江苏 南京 211816南京工业大学建筑学院,江苏 南京 211816
计算机与自动化
建筑设计人工智能CiteSpace软件分析
architectural designartificial intelligenceCiteSpace software analysis
《智能城市》 2025 (1)
17-20,4
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