Fuzzy Modelling for Prediction of Bursting Strength of Knitted Cotton Fabric using Bleaching Process Variables

被引：5
|
作者：
Haque, Abu Naser Md Ahsanul [1 ]
Smriti, Shamima Akter [1 ]
Farzana, Nawshin [1 ]
Siddiqa, Fahmida [1 ]
Islam, Md Azharul [1 ]
机构：
[1] Daffodil Int Univ, Dhaka, Bangladesh
来源：
AATCC JOURNAL OF RESEARCH | 2019年 / 6卷 / 01期
关键词：
Bleaching; Bursting Strength; Cotton; Fuzzy Logic; Knitted Fabric; Modelling; ARTIFICIAL NEURAL-NETWORK; COLOR STRENGTH; LOGIC; REGRESSION;
D O I：
10.14504/ajr.6.1.5
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 fuzzy prediction model has been built based on hydrogen peroxide concentration, bleaching temperature, and time of bleaching as the input variables and knitted cotton fabric bursting strength is the output variable. Fuzzy expert systems can map efficiently in nonlinear domains with minimal experimental data. The model developed in the present study has been validated by new experimental data. The root mean square, mean absolute error percentage, and coefficient of determination (R-2) between the predicted and experimental values were found to be 4.89, 0.707 and 0.965 respectively. The results confirm that the model can be applied successfully for the prediction of fabric bursting strength in textile dye houses.
引用
收藏
页码：29 / 37
页数：9
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