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
هشام محمد خضر | Hisham | 8719