首页|基于知识图谱的国内女性体型分类领域前沿研究

基于知识图谱的国内女性体型分类领域前沿研究

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为揭示国内女性体型分类领域的研究现状、热点及未来的发展方向,基于Citespace软件,通过绘制知识图谱对2003-2023年CNKI知网数据库筛选的198篇文献进行分析,得出国内在女性体型分类的发展趋势.研究表明:当前女性体型分类研究的热点主要集中在体型数据获取与处理、体型分类算法以及数字化技术应用等方面.随着人工智能、数字化技术的迅猛发展,未来的研究趋势和方向应侧重于对分类方法的深入探索,借助先进的科学测量手段、机器学习技术以及创新的分类方法,实现对不同年龄段女性体型特征的更精准分类.这一方向的深入研究有望为女性体型领域的科学发展提供更为创新和前瞻性的贡献.
Frontier research of domestic female body type classification based on knowledge graph
To investigate the current research status,hotspots and future development direction in the field of female body type classification in China,based on Citespace software,this paper analyzed 198 documents screened by CNKI Knowledge Network Database from 2003 to 2023 through knowledge mapping,and came up with the development trend of the classification in China.The study shows that the current hot topics of this research mainly focus on data acquisition and pro-cessing,classification algorithms and the application of digital technology.With the rapid devel-opment of artificial intelligence and digital technology,future research trends and directions should focus on the in-depth exploration of classification methods,with the help of advanced sci-entific measurements,machine learning technology and innovative classification methods,in or-der to achieve a more accurate classification of female body features in different age groups.The in-depth research in this direction is expected to provide more innovative and forward-looking con-tributions to the scientific development of the field.

female body type classificationCitespacevisualizationknowledge graph

周捷、杨雨琪、童振辉

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西安工程大学服装与艺术设计学院,陕西西安 710048

泉州经贸学院轻工系,福建泉州 362000

女性体型分类 Citespace 可视化 知识图谱

陕西省重点研发计划项目

2023-YBSF-203

2024

纺织高校基础科学学报
西安工程大学 全国纺织教育学会

纺织高校基础科学学报

CSTPCD
影响因子:0.339
ISSN:1006-8341
年,卷(期):2024.37(1)
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