| A Web-based Intelligent Fashion Design System |
| |
| 作者姓名： | 李继云 方远 |
| |
| 作者单位： | College of Computer Science and Technology, Donghua University, Shanghai 200051 |
| |
| 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.
|
| 关 键 词： | 时装设计 遗传算法 人工神经网络 Web服务器 |
| 收稿时间： | 2004-11-17 |
A Web-based Intelligent Fashion Design System |
| |
| LI Ji-yun,FANG Yuan.A Web-based Intelligent Fashion Design System[J].Journal of Donghua University,2006,23(1):36-41. |
| |
| Authors: | LI Ji-yun FANG Yuan |
| |
| Abstract: | 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. |
| |
| Keywords: | fashion design genetic algorithm artificial neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
