کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
381116 | 1437484 | 2010 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Improvement of intelligent methods for evaluating the apparent quality of knitted fabrics
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 23, Issue 2, March 2010, Pages 217–221
Journal: Engineering Applications of Artificial Intelligence - Volume 23, Issue 2, March 2010, Pages 217–221
نویسندگان
Dariush Semnani, Morteza Vadood,