Analysis of cotton ring spun yarn diameter using regression and artificial neural network
Küçük Resim Yok
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Inst Natl Cercetare-Dezvoltare Textile Pielarie-Bucuresti
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Yarn diameter is one of the most important properties that influence several properties of end products like cover factor, appearance and handle properties of the fabrics. In this study, it was aimed to analyse yarn diameter of cotton ring spun yarns with regard to the cotton fibre properties by using regression and artificial neural network models. Obtained equations and networks also compared with the yarn diameter of cotton ring spun yarns, which was developed by Peirce (1937). The results show that obtained regression equation gives good estimation of yarn diameter compared to Peirce's equation.
Açıklama
Anahtar Kelimeler
cotton ring spun yarns, yarn diameter, regression, artificial neural network
Kaynak
Industria Textila
WoS Q Değeri
Q3
Scopus Q Değeri
N/A
Cilt
66
Sayı
6