A Web-based Intelligent Fashion Design System

作     者：李继云 方远 

作者机构：College of Computer Science and TechnologyDonghua UniversityShanghai 200051 

出 版 物：《Journal of Donghua University(English Edition)》 (东华大学学报（英文版）)

年 卷 期：2006年第23卷第1期

页      面：36-41页

核心收录：

学科分类：0821[工学-纺织科学与工程] 081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 082104[工学-服装设计与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：fashion design genetic algorithm artificial neural network. 

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.