|
|
|
|
New Scaled Conjugate Gradient Algorithm for Training Artificial Neural Networks Based on Pure Conjugacy Condition
|
|
|
|
|
|
|
|
نویسنده
|
abbo khalil k. ,mohamed hind h.
|
|
منبع
|
kirkuk university journal: scientific studies - 2015 - دوره : 10 - شماره : 3 - صفحه:230 -241
|
|
چکیده
|
Conjugate gradient methods constitute excellent neural network training methods characterized by their simplicity efficiency and their very low memory requirements. in this paper, we propose a new scaled conjugate gradient neural network training algorithm which guarantees descent property with standard wolfe condition. encouraging numerical experiments verify that the proposed algorithm provides fast and stable convergence.
|
|
کلیدواژه
|
Feed-forward Neural networks ,training algorithms
|
|
آدرس
|
mosul university, college of computer science & mathematics, department of mathematics, Iraq, university of mosul, college of computer sci and math, department of math, iraq
|
|
پست الکترونیکی
|
hinm@yahoo.com
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Authors
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|