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- Title
Evaluation of knitted suit fabric style based on fuzzy neural network.
- Authors
Xintong Li; Honglian Cong; Zhe Gao
- Abstract
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.
- Subjects
FUZZY neural networks; ARTIFICIAL neural networks; COTTON textiles; PRINCIPAL components analysis; WOOL textiles
- Publication
Journal of Engineered Fabrics & Fibers (JEFF), 2020, Vol 15, Issue 1, p1
- ISSN
1558-9250
- Publication type
Article
- DOI
10.1177/1558925020971824