DocumentCode
3249443
Title
Research on parameters reasoning of size for blouse in custonmization system
Author
Gu Yaoyuan ; Hong, Xie
Author_Institution
Fashion Inst., Shanghai Univ. of Eng. Sci., Shanghai, China
fYear
2012
fDate
14-17 July 2012
Firstpage
101
Lastpage
104
Abstract
The method using hierarchical clustering classify blouses and human somatatype into different categories. And then using BP algorithm of ANN to simulate the pattern master´s experience and technique is proposed and used in the flat pattern design of blouses. This method realizes intelligence formation of size for blouse based on effective anthropometric measurements. The Experimental results show that this method is feasible.
Keywords
backpropagation; clothing industry; design engineering; inference mechanisms; neural nets; pattern clustering; production engineering computing; ANN; BP algorithm; anthropometric measurements; blouse size; customization system; flat pattern design; hierarchical clustering; human somatatype; parameter reasoning; Artificial neural networks; Clothing; Humans; Neck; Size measurement; Training; Artificial Intelligence; BP algorithm; Garment pattern design; made-to-measure;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education (ICCSE), 2012 7th International Conference on
Conference_Location
Melbourne, VIC
Print_ISBN
978-1-4673-0241-8
Type
conf
DOI
10.1109/ICCSE.2012.6295035
Filename
6295035
Link To Document