Openly accessible

Prognosis of dimensional stability and mass per unit area of single jersey cotton knitted fabric with fuzzy inference system

Smriti, SA, Belal, SA, Haque, MM, Hossain, MI, Farzana, N and Ahsanul Haque, ANM 2019, Prognosis of dimensional stability and mass per unit area of single jersey cotton knitted fabric with fuzzy inference system, Tekstilec, vol. 62, no. 3, pp. 166-180, doi: 10.14502/Tekstilec2019.62.166-180.

Attached Files
Name Description MIMEType Size Downloads

Title Prognosis of dimensional stability and mass per unit area of single jersey cotton knitted fabric with fuzzy inference system
Author(s) Smriti, SA
Belal, SA
Haque, MM
Hossain, MI
Farzana, N
Ahsanul Haque, ANM
Journal name Tekstilec
Volume number 62
Issue number 3
Start page 166
End page 180
Total pages 15
Publisher Urednistvo Tekstilec
Place of publication Ljubljana, Slovenia
Publication date 2019
ISSN 0351-3386
2350-3696
Keyword(s) ARTIFICIAL-INTELLIGENCE
BURSTING STRENGTH
COLOR STRENGTH
DESIGN
fuzzy prediction
LOGIC
Materials Science
Materials Science, Textiles
membership function
overfeed
PREDICTION
REGRESSION
Science & Technology
SHRINKAGE
stenter machine
Technology
WOOL FABRICS
Language eng
DOI 10.14502/Tekstilec2019.62.166-180
Field of Research 091205 Functional Materials
HERDC Research category C1.1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30152099

Document type: Journal Article
Collections: Institute for Frontier Materials
Open Access Collection
GTP Research
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in TR Web of Science
Scopus Citation Count Cited 1 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 7 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Thu, 03 Jun 2021, 15:17:45 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.