The Evaluation of Fabric Prickle Based on BP Neural Network

被引：0

作者：

Li, Tiantian ^{[1
]}

Shao, Jianzhong ^{[1
,2
]}

Zhou, Jinli ^{[1
]}

Zhang, Tianzuo ^{[3
]}

机构：

[1] Zhejiang Sci Tech Univ, Minist Educ, Engn Res Ctr Ecodyeing & Finishing Text, Hangzhou 310018, Zhejiang, Peoples R China

[2] Zhejiang Sci Tech Univ, Minist Educ, Key Lab Adv Text Mat & Mfg Technol, Hangzhou 310018, Zhejiang, Peoples R China

[3] Univ Massachusetts Dartmouth, Dept Bioengn, N Dartmouth, MA 02747 USA

来源：

ECO-DYEING, FINISHING AND GREEN CHEMISTRY | 2012年 / 441卷

关键词：

Fabric prickle; BP neural network; KES-FB system; Objective evaluation;

D O I：

10.4028/www.scientific.net/AMR.441.645

中图分类号：

TB3 [工程材料学]; TS1 [纺织工业、染整工业];

学科分类号：

0805 ; 080502 ; 0821 ;

摘要：

A three-layer BP neural network model was established by relating subjective evaluation of fabric prickle level and 16 objective parameters from KES-FB system. The elastic gradient decrease method was adopted for network training to achieve the preset precision of the model which was later applied to fabric prickle level evaluation. Results from this method gave a considerably accuracy compared with actual subjective results which implied a compatibility between BP neural network and traditional subjective evaluation.

引用

页码：645 / +

页数：3

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