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Register a new userDetermination the Diameter of Cotton Ring-Spun Yarn Using Artificial Neural Networks
تحديد قطر الخيوط القطنية المسرّحة باستخدام الشبكات العصبونيّة الصنعيّة
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في هذا البحث تم استخدام الشبكات العصبونيّة الصنعيّة التي تعتبر من أكثر فروع الذكاء الصناعي التي تخدم عمليات التخمين لإيجاد قطر الغزول القطنيّة المسرحة. تّم جمع البيانات اللازمة وٕ اجراء الاختبارات العملية. ثم تّم العمل على تأسيس خوارزمية برمجية للشبكة العصبونية الصنعية، و التي توفر إمكانية تحديد قطر الغزل القطني المسرح انطلاقاً من المتغيرات المدخلة، و المتمثلة بنمرة الغزل و عدد برماته. حيث أنه بعد إنشاء العديد من الشبكات العصبونية، تّم اختيار الشبكة الأنسب، و التي أعطت أقل نسبة خطأ.
In this research, artificial neural networks, one of the most common branches of artificial intelligence, were used to evaluate the diameter of the cotton yarn. The necessary data were collected and practical tests were carried out. Then, an algorithm for the artificial neural network was established, which provides the possibility of determining the yarn diameter from the input variables, represented by the count and twist yarn. Where after the creation of many networks, one was selected which gave the lowest error rate.
References used
AHMAD. G, 2014 -The Application of Artificial Intelligence to Predict the Strength of Cotton Yarns. Master thesis –Damascus University, Syria, 116p
BASU. A, DORAISWAMY. I, GOTIPAMUL. R L, 2003 - Meaurement of Yarn Diameter and Twist by Image Analysis. The Journal of The Textile Institute, Vol 94, 47-58
CARVALHO. V, SOARES. F. O, 2008- A Comparative Study Between Yarn Diameter and Yarn Mass Variation Measurement System Using Capatitive And Optical Sensors. The Indian Journal of fiber& Textile Research, Vol 33, 119-125
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