Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
381116 | Engineering Applications of Artificial Intelligence | 2010 | 5 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Dariush Semnani, Morteza Vadood,