Knowledge-based personalized pattern design of legging for mass customization using support vector machine modelling

Uproszczony widok
dc.contributor.authorWang, Zhujun
dc.contributor.authorXing, Yingmei
dc.contributor.authorTao, Xuyuan
dc.contributor.authorZeng, Xianyi
dc.contributor.authorBruniaux, Pascal
dc.contributor.authorXu, Zhenzhen
dc.date.accessioned2022-11-24T12:37:14Z
dc.date.available2022-11-24T12:37:14Z
dc.date.issued2022
dc.description.abstractIn this study, we proposed a knowledge-based intelligent approach for pattern design of personalized garment toward mass customization using support vector machine modelling. This approach has been described and validated in the scenario of personalized legging design. The proposed models have been set up by learning from quantitative relationships between garment structure lines and controlling points, and then simulated for pattern parameters prediction. Finally, the performance of the presented approach was compared with the traditional grading method. From the experimental results, the design effect of the proposed approach is equivalent to the existing grading method. It indicates that our approach provides a feasible and valuable solution for promoting the personalized garment pattern design and facilitating the process of garment mass customization.en_EN
dc.identifier.citationWang Z., Xing Y., Tao X., Zeng X., Bruniaux P., Xu Z., Knowledge-based personalized pattern design of legging for mass customization using support vector machine modelling. W: AUTEX 2022 : 21st World Textile Conference AUTEX 2022 - AUTEX Conference Proceedings, Lodz University of Technology Press, Lodz 2022, s. 326-329, ISBN 978-83-66741-75-1, doi: 10.34658/9788366741751.68.
dc.identifier.doi10.34658/9788366741751.68
dc.identifier.isbn978-83-66741-75-1
dc.identifier.urihttp://hdl.handle.net/11652/4502
dc.identifier.urihttps://doi.org/10.34658/9788366741751.68
dc.language.isoenen_EN
dc.page.numbers. 326-329
dc.publisherWydawnictwo Politechniki Łódzkiejpl_PL
dc.publisherLodz University of Technology Pressen_EN
dc.relation.ispartofAUTEX 2022 : 21st World Textile Conference AUTEX 2022 - AUTEX Conference Proceedings, Lodz University of Technology Press, Lodz 2022, ISBN 978-83-66741-75-1, doi: 10.34658/9788366741751.
dc.rightsDla wszystkich w zakresie dozwolonego użytkupl_PL
dc.rightsFair use conditionen_EN
dc.rights.licenseLicencja PŁpl_PL
dc.rights.licenseLUT Licenseen_EN
dc.subjectgarment pattern designen_EN
dc.subjectmass customizationen_EN
dc.subjectartificial intelligenceen_EN
dc.subjectmachine learningen_EN
dc.subjectsupport vector machineen_EN
dc.subjectprojektowanie wzorów odzieżypl_PL
dc.subjectmasowa personalizacjapl_PL
dc.subjectsztuczna inteligencjapl_PL
dc.subjectuczenie maszynowepl_PL
dc.subjectmaszyna wektorów pomocniczychpl_PL
dc.titleKnowledge-based personalized pattern design of legging for mass customization using support vector machine modellingen_EN
dc.typeartykuł - konferencjapl_PL
dc.typearticle - conferenceen_EN

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