Clothing Comfort Evaluation Model Based on Adaptive Fuzzy Neural Network

Author

Heng Du ; Ruomei Wang ; Daiguo Deng ; Yu Liu

Author_Institution

State-Province Joint Lab. of Digital Home Interactive Applic., SunYat-sen Univ., Guangzhou, China

fYear

2012

fDate

23-25 Nov. 2012

Firstpage

128

Lastpage

132

Abstract

In order to improve the predictive precision and adaptability of the garment pressure evaluation model, we presented a dynamic evaluation model based on adaptive fuzzy neural network. In this paper, according to analysis of characteristics and limitations of the existing models, we present our model, and the final verify result showed that our method can significantly improve the evaluation quality of the clothing pressure comfort.

Keywords

CAD; adaptive systems; backpropagation; clothing; clothing industry; feedforward neural nets; fuzzy neural nets; production engineering computing; adaptability improvement; adaptive fuzzy neural network; clothing comfort evaluation model; clothing pressure comfort evaluation quality; computer aided design; dynamic evaluation model; five-layer feed-forward back-propagation networks; garment CAD technology; garment enterprises; garment pressure evaluation model; predictive precision improvement; production efficiency improvement; production technology level improvement; Adaptation models; Adaptive systems; Clothing; Fuzzy neural networks; Predictive models; Solid modeling; Training; adaptive fuzzy neural network; clothing pressure comfort evaluation;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Home (ICDH), 2012 Fourth International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-1-4673-1348-3

Type

conf

DOI

10.1109/ICDH.2012.81

Filename

6376397