Utilizing fuzzy recognition in Hopfield neural network in relatively high corruption signal transmission
Other Title(s)
استخدام المنطق الضبابي في تحديد الأشكال التي لا يتم فيها التطابق عند تقارب شبكة الخلايا العصبية نوع ذاكرة الاقتران "هوبفيلد" في ظل تشوه عالي بالإشارة المرسلة نسبيا
Author
Source
al-Qadisiyah Journal for Engineering Sciences
Issue
Vol. 7, Issue 2 (30 Jun. 2014), pp.225-238, 14 p.
Publisher
al-Qadisiyah University College of Engineering
Publication Date
2014-06-30
Country of Publication
Iraq
No. of Pages
14
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
American Psychological Association (APA)
Murad, Ismail Khalil. 2014. Utilizing fuzzy recognition in Hopfield neural network in relatively high corruption signal transmission. al-Qadisiyah Journal for Engineering Sciences،Vol. 7, no. 2, pp.225-238.
https://search.emarefa.net/detail/BIM-747172
Modern Language Association (MLA)
Murad, Ismail Khalil. Utilizing fuzzy recognition in Hopfield neural network in relatively high corruption signal transmission. al-Qadisiyah Journal for Engineering Sciences Vol. 7, no. 2 (2014), pp.225-238.
https://search.emarefa.net/detail/BIM-747172
American Medical Association (AMA)
Murad, Ismail Khalil. Utilizing fuzzy recognition in Hopfield neural network in relatively high corruption signal transmission. al-Qadisiyah Journal for Engineering Sciences. 2014. Vol. 7, no. 2, pp.225-238.
https://search.emarefa.net/detail/BIM-747172
Data Type
Journal Articles
Language
English
Record ID
BIM-747172
