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 :
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