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人工神经网络在预测服装及面料舒适性方面的探讨
引用本文:王林玉,王厉冰.人工神经网络在预测服装及面料舒适性方面的探讨[J].青岛大学学报(工程技术版),2006,21(1):82-85,91.
作者姓名:王林玉  王厉冰
作者单位:青岛大学纺织服装学院,山东,青岛,266071
摘    要:服装市场的激烈竞争要求服装厂商能对面料以及还未出品的成衣的舒适性做出快速判断。对服装及面料舒适性的预测离不开舒适性模型的建立,通过分析其他建模方法存在的弊端引出人工神经网络的建模方法,其模糊判别的特点适用于舒适性模型建立的要求。叙述了此种技术在舒适性研究中应用的现状,并在技术上对舒适性神经网络的构建进行了探讨。

关 键 词:舒适性  模型  人工神经网络  模糊评判
文章编号:1006-9798(2006)01-0082-04
收稿时间:2005-09-05
修稿时间:2005-09-052005-12-05

Discussion about Artificial Neural Network Predicting Clothing and Fabrics Comfort
WANG Lin-yu,WANG Li-bing.Discussion about Artificial Neural Network Predicting Clothing and Fabrics Comfort[J].Journal of Qingdao University(Engineering & Technology Edition),2006,21(1):82-85,91.
Authors:WANG Lin-yu  WANG Li-bing
Affiliation:College of Textile and Clothing, Qingdao University, Qingdao 266071, China
Abstract:The fierce completion in the clothing market requires the clothing makers to judge the comfort of the clothes and fabrics quickly.But it must depend on the model of clothing and its fabrics' comfort.The modeling method of artificial neural network(ANN) can conquer the disadvantages that exist in the traditional method.The feature of fuzzy judgment can meet the requirement of the comfort modeling.Then we summarize the application status of artificial neural network method in the comfort modeling and discuss how to construct the comfort model in the technique.
Keywords:comfort  model  artificial neural network  fuzzy judge
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