استخدام الشبكات العصبية الاصطناعية في التنبؤ بسعر البترول الخام برنت

Abstract EN

This study aimed to predict the future values of Brent Crude oil prices.

Using artificial neural network technology.

Daily oil price data were used for the period from 16/05/2011 to 01/04/2019.

A multi-layer perceptron network (MLP) has been used to construct neural network parameters.

Using Alyuda software.

The study concluded that the use of artificial neural networks model in the prediction, has a high quality in predicting the prices of oil under study.

This makes it help to determine the fiscal and economic policy of countries.