Neural Network Forecasting Evaluation of Virtual Coats’Profile appearance

摘要：

In this paper, experts have subjectively evaluated profile appearance of 36 garments which were made of different materials and had different ease. The coherence of experts’ evaluations were tested through Friedman method Main factors witch affected garments appearance ease were used as independent variables to establish BP neural network forecast model and multi-regression forecast model of evaluation toward garments profile appearance. It was found that neural network model was more precise than the multiregression model.

关键词： subjectively evaluated Virtual Coats’Profile BP Neural Network multi-regression model

作者: Jihong Xu Shuping Gao Wenbin Zhang

作者单位: Yangzhou Polytechnic College Yangzhou Jiangsu Province 225009 China Institute of Fashion Design Dong Institute of Fashion Design Donghua University Shanghai 200051 China

会议类型: 国际会议

会议名称: 2009 IEEE 10th International Conference on Computer-Aided Industrial Design & Conceptual Design(2009 IEEE 第十届国际计算机辅助工业设计与概念设计学术会议 CAID&CD2009)

会议地点: 温州

会议语种:英文

页码: 1888-1891

在线出版日期: 2009-11-26（万方平台首次上网日期，不代表论文的发表时间）