A Web-based Intelligent Fashion Design System

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.