基于小波网络的服装号型推荐系统研究

Research about Garment Sizes Selection System Based on Wavelet Neural Network

运用层次分析法和小波神经网络构建数学模型,对应不同服装品种和具体人体测量数据,形成服装号型匹配的方法;通过搭建在号型推荐技术和包含人体样本数据、层次法权值数据、服装商品规格数据、神经网络模块的参数数据的数据库基础上,形成服装号型推荐系统;最后实验验证该方法的可行性。

This paper studies a system about garment sizes selection,proposing a method based on analytic hierarchy process and wavelet neural network.Corresponding to the different varieties of clothing and specific anthropometric data,this paper forms the method of garment size selection.On the basis of the database that contains anthropometric data,weights of the AHP,data of clothing product specifications,and neural network parameters,the paper builts the technology of garment sizes selection,and forms the system using in network.Finally the authors use experiment results to prove its feasibility.