Research on image design of Fujian paper-cut pattern based on Kansei engineering and WOA-BP neural network.
In order to design Fujian paper-cut patterns that meet the perceptual needs of consumers and better inherit and develop them in modern society, a Fujian paper-cut pattern image design method based on perceptual engineering and the Whale Optimization Algorithm optimized BP neural network (WOA-BP) neu...
| Publicado en: | Digital Scholarship in the Humanities Vol. 40; no. 1; pp. 27 - 40 |
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| Autores principales: | , |
| Formato: | Artículo |
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Oxford University Press / USA
Apr2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=184296824&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 184296824 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Apr2025 vid: 40 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 184296824 10.1093/llc/fqae076 ppf: 27 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P size: 2MB tig: atl: Research on image design of Fujian paper-cut pattern based on Kansei engineering and WOA-BP neural network. aug: au: Chen, Daoling Cheng, Pengpeng affil: Clothing and Design Faculty, Minjiang University, Fuzhou, 350108, China School of Fashion Design & Engineering, Zhejiang Sci-Tech University, Hangzhou, 311199, China su: Metaheuristic algorithms Multidimensional scaling Principal components analysis Cluster analysis (Statistics) Modern society Analytic hierarchy process Fujian Sheng (China) sug: subj: Fujian Sheng (China) Metaheuristic algorithms Multidimensional scaling Principal components analysis Cluster analysis (Statistics) Modern society Analytic hierarchy process keyword: Fujian paper-cut image design Kansei engineering WOA-BP ab: In order to design Fujian paper-cut patterns that meet the perceptual needs of consumers and better inherit and develop them in modern society, a Fujian paper-cut pattern image design method based on perceptual engineering and the Whale Optimization Algorithm optimized BP neural network (WOA-BP) neural network is proposed. First, based on the theory of Kansei engineering, six representative paper-cut pattern samples and their main modeling features were determined through questionnaire survey, multi-dimensional scaling analysis, cluster analysis, and analytic hierarchy process. Second, the semantic difference method is used to obtain the perceptual image evaluation value of the representative paper-cut pattern, and combined with the principal component analysis method, the representative image vocabulary is extracted. Finally, the WOA-BP neural network is used to construct the mapping relationship between consumers' perceptual images and paper-cut pattern modeling features, and calculate the paper-cut pattern modeling code combinations corresponding to consumers' image needs. At the same time, the paper-cut pattern design using the image vocabulary 'modern-traditional' as an example verifies the feasibility of the method in this article. Compared with the existing method of designing paper-cut patterns based solely on the subjective experience of the designer, the method of this article can correlate the perceptual needs of consumers with the corresponding modeling characteristics of paper-cut patterns, making the design of paper-cut patterns targeted, precise and intelligent. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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