Prediction of Various Functional Finishing Treatments Using Artificial Neural Networks
Küçük Resim Yok
Tarih
2011
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Korean Fiber Soc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, in order to produce different water-oil repellent and wrinkle resistant fabrics, 21 different kinds of blended woven fabrics were treated (padded and transfered) with both classic and nano chemicals according to 4 different levels of concentrations. Afterwards, water, oil repellency and wrinkle angle recovery properties of the fabrics were measured. The purpose of this study is to predict these aforementioned functional properties of the fabrics before manufacturing based on the fabric blend, treatment method, used chemicals and chemical concentrations with the help of multi layer perceptron, one of the most popular network architecture. As a result of the study, it can be concluded that multi layer perceptron method can also be used for the classification problems successfully.
Açıklama
Anahtar Kelimeler
Finishing, Fabric, Classification, Multi layer perceptron
Kaynak
Fibers and Polymers
WoS Q Değeri
Q2
Scopus Q Değeri
N/A
Cilt
12
Sayı
3
