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

Volume

1

fYear

2010

fDate

14-15 Aug. 2010

Firstpage

226

Lastpage

229

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICIE.2010.60

Filename

5571068