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Artificial neural network system for prediction of dimensional properties of cloth in garment manufacturing: Case study on a T-shirt

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dc.contributor.author Kalkancı, Mihriban
dc.contributor.author Kurumer, G.
dc.contributor.author Öztürk, H.
dc.contributor.author Sinecen, M.
dc.contributor.author Kayacan, Ö.
dc.date.accessioned 2019-08-16T12:59:29Z
dc.date.available 2019-08-16T12:59:29Z
dc.date.issued 2017
dc.identifier.issn 12303666 (ISSN)
dc.identifier.uri http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/9288
dc.description.abstract The purpose of the present study was to estimate dimensional measure properties of T-shirts made up of single jersey and interlock fabrics through artificial neural networks (ANN). To that end, 72 different types of T-shirts were manufactured under 2 different fabric groups, each was consisting of 2 groups: one with elastane and the other without. Each of these groups were manufactured from six different materials in three different densities through two different knitting techniques of single jersey and interlock. For estimation of dimensional changes in these T-shirts, models including feed-forward, back-propagated, the momentum learning rule and sigmoid transfer function were utilized. As a result of the present study, the ANN system was found to be successful in estimation of pattern measures of garments. The prediction of dimensional properties produced by the neural network model proved to be highly reliable (R2> 0.99). © 2017, Institute of Biopolymers and Chemical Fibres. All rights reserved.
dc.language.iso English
dc.publisher Institute of Biopolymers and Chemical Fibres
dc.relation.isversionof 10.5604/01.3001.0010.2859
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Artificial neural networks
dc.subject Cloth dimensional change
dc.subject Knitted fabric
dc.subject Relaxation
dc.subject Fibers
dc.subject Industrial engineering
dc.subject Textiles
dc.subject Dimensional changes
dc.subject Dimensional properties
dc.subject Garment manufacturing
dc.subject Momentum learning rules
dc.subject Neural network model
dc.subject Sigmoid transfer function
dc.subject Neural networks
dc.title Artificial neural network system for prediction of dimensional properties of cloth in garment manufacturing: Case study on a T-shirt
dc.type Article
dc.relation.journal Fibres and Textiles in Eastern Europe
dc.contributor.authorID 0000-0003-3287-1428
dc.identifier.volume 25
dc.identifier.issue 4
dc.identifier.startpage 135
dc.identifier.endpage 140
dc.relation.publicationCategory Uluslararası Hakemli Dergi
dc.identifier.index Scopus
dc.identifier.index WOS


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