استخدام العمليات العشوائية و الشبكات العصبية في نمذجة التنبؤ الاقتصادي

Abstract EN

The aim of this research is to show the steps of economic forecasting modeling by the use of the random operations and neural networks.

We use a mathematical and statistical principales on sale activity in an Algerian industrial entreprise, these techniques focus on it in determining a forecasting models adequate with the economic conjuncture of the country in short and medium terms.

The results show the importance of chronological timing analysis by using models of neural networks because of its precise and effectif role in short term making decision .