摘要
基于2009—2022年WOS和CNKI数据库中在建筑领域以神经网络为主题的相关文献,运用CiteSpace文献计量软件,利用筛选出的3464篇文献绘制作者共现知识图谱、关键词共现知识图谱、关键词聚类知识图谱、关键词时区图等。通过分析该领域的研究现状、研究热点和发展趋势,发现建筑领域的神经网络相关文献发文量在近两年增长迅猛,但是国内发文作者间没有形成紧密的合作关系。
Based on the relevant literature on neural networks in the construction field in the WOS and CNKI databases from 2009 to 2022,CiteSpace bibliometric software was used to draw author′s co-discovery knowledge map,keyword co-occurrence knowledge map,keyword clustering knowledge map,keyword time zone map by using 3464 selected literatures.By analyzing the research status,research hotspots and development trends in this field,it is found that the literature output of neural network in the field of architecture has increased rapidly in the past two years,however,there is no close cooperation between the domestic authors.Artificial intelligence is still likely to be the focus of future research in architecture field.
作者
王梦琦
陈东
WANG Meng-qi;CHEN Dong(College of Civil Engineering,Anhui Jianzhu University,Hefei 230601,China)
出处
《河南城建学院学报》
CAS
2023年第5期48-54,共7页
Journal of Henan University of Urban Construction
基金
安徽高校自然科学研究项目(KJ2021A0608)
安徽省住房城乡建设科学技术计划项目(2020-YF47)。
