دور الشبكات العصبونية الاصطناعية في التنبؤ بالمبيعات لدعم صنع القرارات الإدارية بالمؤسسات : دراسة حالة مؤسسة الإسمنت بعين الكبيرة

Abstract EN

This paper aims at applying the method of artificial neural networks in forecasting the volume of sales of AIN ELKABIRA Cement Company.

The study was conducted on the monthly data of cement sales in the normal CPT (CPJ) during the period from January 2012 to December 2015.

The results of the study showed that the use of the neural network method gave accurate and close predictions of the reality between the periods from 2016 to December 2016, and thus reduced the difference of estimation, and is considered as a tool to assist in the lack of administrative decisionmaking in Algerian institutions.