Knowledge-based personalized pattern design of legging for mass customization using support vector machine modelling
Ładowanie...
Data
2022
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press
Lodz University of Technology Press
Abstrakt
In 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.
Opis
Słowa kluczowe
garment pattern design, mass customization, artificial intelligence, machine learning, support vector machine, projektowanie wzorów odzieży, masowa personalizacja, sztuczna inteligencja, uczenie maszynowe, maszyna wektorów pomocniczych
Cytowanie
Wang 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.