Brief paper: Improvement of intelligent methods for evaluating the apparent quality of knitted fabrics

Authors:
Dariush Semnani;Morteza Vadood
Affiliations:
Department of Textile Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran;Department of Textile Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran
Venue:
Engineering Applications of Artificial Intelligence
Year:
2010

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Abstract

In the previous studies, the standard boards of yarn (ASTM) were analyzed using the image analysis method and artificial neural networks; the appearance of different knitted fabrics samples was tested for appearance. There was a strong influence of yarn type and fabrics structure on fabrics apparent quality. In the present research, the artificial neural network (ANN) has been applied to predict the fabric apparent parameters. The optimum structure of ANN has been designed using the genetic algorithm method. The results show that the ANN can be optimized very well by the GA and the designed ANN is very accurate and applicable to predict the apparent parameters.