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

Murad, Ismail Khalil

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