عنوان المقالة:لا توجد Training Feed Forward Neural Network with Modified Fletcher-Reeves Method
هشام محمد خضر | Hisham | 8719
Publication Type
Journal
Arabic Authors
ا.د.خليل خضر عبو, ا.م.د.يوكسل عبدالستار صادق, م.م.هشام محمد خضر
English Authors
Khalil K. Abbo1, Yoksal A. Laylani2, Hisham M. Khudhur3
Abstract
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.
Publication Date
1/1/2018
Publisher
Journal of Multidisciplinary Modeling and Optimization
Volume No
1
Issue No
2
ISSN/ISBN
2645-923X
DOI
10.13140/RG.2.2.16517.60640
Pages
15-22
File Link
تحميل (157 مرات التحميل)
External Link
https://www.researchgate.net/publication/327339466_Training_Feed_Forward_Neural_Network_with_Modified_Fletcher-Reeves_Method
Keywords
Unconstrained optimization problem, Conjugate gradient method, Wolfe condition, Globally convergent
رجوع