مجلة دراسات متقدمة في المالية والمحاسبة
Volume 1, Numéro 2, Pages 330-340
2018-07-15

Predicting Using The Artificial Neural Networks



Auteurs : ربيع حميدان . عبد الرزاق حميدان .

Résumé

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.

Mots clés

Méthode de régression linéaire simple, Réseaux de neurones artificiels, Prédiction, algorithmes d'apprentissage

Les articles similaires

Predicting Of Financial Distress Of Companies Using The Artificial Neural Networks: A Case Study Of Listed Industrial Companies On Amman Stock Exchange

Zahouani Marwa .  Bouguerra Imane . 
pages 492-509.

An Artificial Neural Networks Model For Predicting Patients’ Mortality Due To Covid-19 "covisurv2021"

Haddad Fatima Zohra .  Ouadah Saliha .  Lefilef Lina .  Benbouras Mohammed Amin . 
pages 33-47.

Intrusion Detection Based On Neural Networks Neural Networks In Iot

Chaima Bensaid . 
pages 29-33.

The Use Of The Artificial Intelligence Techniques In Evaluating The Credit Risk In The Commercial Banks –the Artificial Neural Networks Model-

Omari Aicha .  Baba Ahmed Abdelmadjid . 
pages 164-185.

Forecasting Exchange Rates Using Artificial Neural Networks

Benlaria Ahmed .  Boubekeur Lahcen . 
pages 804-814.

Formats de citation