基于模糊神经网络的服装号型推荐专家系统  

Optimal Selection of Garment Sizes Expert System Based on Fuzzy Neural Networks

作　　者：东苗[1] 郝矿荣[1] 丁永生[2] 

机构地区：[1]东华大学信息科学与技术学院 [2]数字化纺织服装技术教育部工程研究中心

出　　处：《微型电脑应用》2010年第3期21-23,26,共4页Microcomputer Applications

基　　金：国家自然科学基金(60775052);教育部科技创新工程重大项目培育资金项目(706024);上海市国际科技合作基金项目(061307041);上海市科学技术委员会重点基础研究项目(08JC1400100);上海市人才发展资金(001)

摘　　要：该文提出了基于模糊神经网络的服装号型推荐专家系统,将专家系统、模糊神经网络的计算优势与服装号型结合实现面向个体尺寸的服装号型推荐,通过定义方案矩阵、权重矩阵和匹配度矩阵规范了服装号型的推荐流程。最后针对测量样本通过对5·4系列女长袖衬衫的号型推荐,验证了该方法可行性。该方法具有计算简单和结果准确的优点,能快速地为顾客在线购买服装提供全面、客观、科学的决策参考,具有重要的研究价值和广泛的应用前景。This paper presents an optimal selection of garment sizes expert system which is constructed on the basis of fuzzy neural networks. It combines the calculation advantages of expert system and fuzzy neural networks with the selection of garment sizes. In order to demonstrate its feasibility, an example of selecting the fittest women's top in the 5·4 series are provided in this paper. The proposed method is simple and accurate in calculation, and can provide all-around, objective and scientific decision-making references for customers when shopping for garment on-line quickly and exactly. The research has very important value and widespread application prospect regarding multi-channel development of apparel industry in our country.

关 键 词：模糊算法 神经网络 服装号型推荐 专家系统 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]