DocumentCode
465905
Title
Application of Neural Network to Identification of Young Females´ Body Type
Author
Zou, Feng-yuan ; Ding, Xiao-jun ; Zhang, Shu-jun ; Wang, Li-jun ; Zhang, Yong-hong
Author_Institution
Zhejiang Sci-Tech Univ., Hangzhou
Volume
3
fYear
2006
fDate
8-11 Oct. 2006
Firstpage
2257
Lastpage
2261
Abstract
MTM (made to measure) is a new manufacturing trend in which mass-market products (e.g. apparel) are quickly modified one at a time based on customers´ needs. It is an effective competing strategy to maximize customers´ satisfaction and minimizing inventory costs. To satisfy the need for body type analysis in MTM, an artificial neural network BP algorithm is used to simulate the experience and technology of fashion designers and then a model is established to identify body type. The model, which realizes auto-mapping from body data to specific estimation, has high precision. The result indicates that the model satisfies the need for body analysis in MTM.
Keywords
backpropagation; clothing industry; customer satisfaction; neural nets; production engineering computing; MTM; artificial neural network BP algorithm; customer satisfaction; garment industry; inventory costs; made to measure; young females body type identification; Algorithm design and analysis; Art; Artificial neural networks; Clothing industry; Costs; Cybernetics; Humans; Manufacturing; Neural networks; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
Conference_Location
Taipei
Print_ISBN
1-4244-0099-6
Electronic_ISBN
1-4244-0100-3
Type
conf
DOI
10.1109/ICSMC.2006.385197
Filename
4274203
Link To Document