عنوان المقالة:لا توجد Training Feed Forward Neural Network with Modified Fletcher-Reeves Method
هشام محمد خضر | Hisham | 8606
- نوع النشر
- مجلة علمية
- المؤلفون بالعربي
- ا.د.خليل خضر عبو, ا.م.د.يوكسل عبدالستار صادق, م.م.هشام محمد خضر
- المؤلفون بالإنجليزي
- Khalil K. Abbo1, Yoksal A. Laylani2, Hisham M. Khudhur3
- الملخص العربي
- In this research, a modified Fletcher-Reeves (FR) conjugate gradient algorithm for training large scale feed forward neural network (FFNN) is presented. Under mild conditions, we establish that the proposed method satisfies the sufficient descent condition, and it is globally convergent under Wolfe line search condition. The evidence which is provided by experimental results showed that our proposed method is preferable and superior to the classic methods.
- تاريخ النشر
- 01/01/2018
- الناشر
- Journal of Multidisciplinary Modeling and Optimization
- رقم المجلد
- 1
- رقم العدد
- 2
- ISSN/ISBN
- 2645-923X
- رابط DOI
- 10.13140/RG.2.2.16517.60640
- الصفحات
- 15-22
- رابط الملف
- تحميل (157 مرات التحميل)
- رابط خارجي
- https://www.researchgate.net/publication/327339466_Training_Feed_Forward_Neural_Network_with_Modified_Fletcher-Reeves_Method
- الكلمات المفتاحية
- Unconstrained optimization problem, Conjugate gradient method, Wolfe condition, Globally convergent