Title :
Application of Kohonen Self-organizing Map in Fashion Parts Classification
Author :
Qian, Su-qin ; Dong, Ai-hua
Author_Institution :
Inst. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China
Abstract :
In this paper, a method for automatic recommendation of fashion part in an intelligent fashion design system for nonprofessional persons is proposed. After capturing the characteristic values of fashion parts, the parts are classified using Kohonen self-organizing map network. Then the relationship between the fashion parts and fashion style is analyzed and the automatic recommendation rules are built. The proposed method is applied into one group of fashion pieces and the experimental results show its value.
Keywords :
clothing; intelligent design assistants; pattern classification; production engineering computing; self-organising feature maps; Kohonen self-organizing map; automatic recommendation rules; fashion parts classification; fashion pieces; fashion style; intelligent fashion design system; nonprofessional persons; Algorithm design and analysis; Artificial intelligence; Classification algorithms; Clothing; Databases; Neurons; Training; Classification algorithms; Intelligent fashion design; Kohonen self-organizing Map; Pieces recommendation rule;
Conference_Titel :
Information Engineering (ICIE), 2010 WASE International Conference on
Conference_Location :
Beidaihe, Hebei
Print_ISBN :
978-1-4244-7506-3
Electronic_ISBN :
978-1-4244-7507-0
DOI :
10.1109/ICIE.2010.60
