DocumentCode
2564784
Title
Supervised FCNN Classification for Garment Seams
Author
Pan, Yonghui ; Bao, Fang ; Wang, Shitong
fYear
2007
fDate
15-19 Dec. 2007
Firstpage
555
Lastpage
559
Abstract
In this paper, a supervised fuzzy clustering neural network (SFCNN) is introduced for constructing the garment seam evaluation system. Our experimental results demonstrate that the proposed system could efficiently be used as an objective garment seam evaluation system with high accuracy and is robust for various structures and mechanical properties of middle-thickness cotton fabric.
Keywords
Clothing; Computational intelligence; Cotton; Educational institutions; Fabrics; Fuzzy neural networks; Information security; Information technology; Mechanical factors; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security, 2007 International Conference on
Conference_Location
Harbin
Print_ISBN
0-7695-3072-9
Electronic_ISBN
978-0-7695-3072-7
Type
conf
DOI
10.1109/CIS.2007.88
Filename
4415405
Link To Document