由为时尚设计者的服装协作的决策进程建模,用模糊神经网络的一种计算机帮助服装协作被建议。Takagi-Sugeno 模糊神经网络(TSFNN ) 被用来在服装协作上听说知识和规则时尚设计者并且计算服装协作满足索引(GCSI ) 计算机帮助服装协作工具的 .The 实现被划分成二个阶段。第一个阶段是获得服装协作的知识。第二个阶段是训练并且使用模糊神经网络进行服装协作。三层结构也为开发系统被讨论。由使用计算机帮助服装协作工具进一家真实的零卖时尚的店,试验性的结果证明系统与为外面屏蔽满足协作对选择合适的价值表现很好。
By modeling the decision-making process of garment coordination of fashion designers, a kind of computer-aid garment coordination using fuzzy neural network was propesed. The Takagi Sugeno Fuzzy Neural Network (TSFNN) is used to learn the knowledge and rules of fashion designers on garment coordination and calculate the garment coordination satisfaction index (GCSI). The implementation of the computer-aid garment coordination tool is divided into two stages. The first stage is to acquire the knowledge of garment coordination. The second stage is to train and use the fuzzy neural network to conduct garment coordination. Three layers structure were also discussed for developing the system. By applying the computer-aid garment coordination tool into a real fushionretailing store, the experimental results show the system pexforms well with choosing a suitable value for screening out the satisfaction coordination pairs.