Design of Customized Garments Towards Sustainable Fashion Using 3D Digital Simulation and Machine Learning-Supported Human–Product Interactions

Design of Customized Garments Towards Sustainable Fashion Using 3D Digital Simulation and Machine Learning-Supported Human–Product Interactions

Abstract This paper put forward a new interactive design approach for customized garments towards sustainable fashion using machine learning techniques, including radial basis function artificial neural network (RBF ANN), genetic algorithms (GA), probabilistic neural network (PNN), and support vecto...

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Bibliographic Details
Main Authors: Zhujun Wang, Xuyuan Tao, Xianyi Zeng, Yingmei Xing, Zhenzhen Xu, Pascal Bruniaux
Format: Article
Language:English
Published: Springer 2023-02-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Interactive garment design
Machine learning
Sustainable fashion
Garment e-mass customization
Radial basis function artificial neural network
Genetic algorithm
Online Access:https://doi.org/10.1007/s44196-023-00189-7

Internet

https://doi.org/10.1007/s44196-023-00189-7

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