A Web-based Intelligent Fashion Design System

被引：0
|
作者：
李继云
方远
机构：
[1] College of Computer Science and Technology Donghua University
[2] Shanghai 200051
来源：
Journal of Donghua University(English Edition) | 2006年 / 01期
关键词：
fashion design; genetic algorithm; artificial neural network;
D O I：
10.19884/j.1672-5220.2006.01.009
中图分类号：
TB47 [工业设计];
学科分类号：
1403 ;
摘要：
A web-based fashion design system-FashDesn was developed for non-professionals to make their own style-based design by choosing and combining fashion parts. We use genetic algorithm to find the optimal satisfied style, while the fitness function of GA is approached by artificial neural network. The users’ style intention can be reached through the learning process of the artificial neural network. The system architecture and some realization details of the system are given in the paper. An output contrast for elegant style women’s before and after user’s interaction is used to illustrate its usefulness in the end.
引用
收藏
页码：36 / 41
页数：6
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