التنبؤ بأسعار صرف الدينار الجزائري باستخدام الشبكات العصبية الاصطناعية

Abstract EN

The objective of this study is to forecast the exchange rate of the Algerian dinar against the euro, using artificial neural networks, in order to determine the accuracy of the prediction of this method with traditional statistical methods, because exchange rates time series are nonlinear, dynamic and random.

For this purpose, we rely on the monthly data of the Algerian dinar exchange rate obtained from the OANDA database.

The results showed that artificial neural networks are efficient than traditional statistical methods in prediction