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 :
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