مجلة دراسات متقدمة في المالية والمحاسبة
Volume 1, Numéro 2, Pages 330-340
2018-07-15
Auteurs : ربيع حميدان . عبد الرزاق حميدان .
Artificial neural networks are one of the most important areas of artificial intelligence, reflecting an important development of human thought. However, the evolution of these methods has evolved in a noticeable way, just as their use gives good results compared to other methods. Here, we will use artificial neural networks as a means of predicting and comparing it with the simple linear regression method, and by using SPSS as well as by data entry and weight training. As it will be by the research to prove the use of the artificial neural network optimization model in the simulation, which is really important as a tool of operational research tools.
Méthode de régression linéaire simple, Réseaux de neurones artificiels, Prédiction, algorithmes d'apprentissage
Hellal Aouatef
.
Djeddou Messaoud
.
Loukam Imed
.
A. Hameed Ibrahim
.
Al Dallal Jehad
.
Shawaqfah Moayyad
.
pages 69-83.
Zahouani Marwa
.
Bouguerra Imane
.
pages 492-509.
Bekhti Sara
.
Benamor Silia
.
Sellami Asma
.
pages 15-25.
Haddad Fatima Zohra
.
Ouadah Saliha
.
Lefilef Lina
.
Benbouras Mohammed Amin
.
pages 33-47.