Open AccessEvaluation of knitted suit fabric style based on fuzzy neural network
Author(s) -
Xintong Li,
Honglian Cong,
Zhe Gao
Publication year - 2020
Publication title -
journal of engineered fibers and fabrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.303
H-Index - 29
ISSN - 1558-9250
DOI - 10.1177/1558925020971824
Subject(s) - fuzzy logic , artificial neural network , polyester , composite material , flexural rigidity , woven fabric , fabric structure , extensibility , yarn , structural engineering , materials science , computer science , engineering , artificial intelligence , operating system
In order to better judge the fabric style of knitted suit fabrics and improve the production quality of knitted suit fabrics, we use principal component analysis and cluster analysis methods to process fabric samples and evaluation indicators, and use neural network technology to establish The fuzzy neural network model outputs comprehensive evaluation values to judge knitted suit fabrics. The results show that the predicted value of the model output is above 0.6. The style of knitted suit fabric is close to that of traditional woven suit fabric, the flexural stiffness is between 5 and 20 μN• m, the extensibility is between 10% and 20% and the shear stiffness is between 50 N/m. The value of wool and polyester fabric is basically above 0.7, and the style is similar to the woven suit fabric, followed by knitted suit fabrics of cotton and polyester.