التنبؤ بالرقم القياسي ومعدل التضخم لإقليم كوردستان العراق باستخدام نموذج حركي للشبكات العصبية مع السلاسل الزمنية

Abstract EN

In this research, the Consumer price index and the main sections of the Kurdistan Region of Iraq were predicted, in which the annual inflation rate and the main sections are calculated by using dynamic models of neural networks (non-linear filters) with time series in the formation of linear models to predict the future interval (2032-2025).

Based on data from the KRSO for the interval (2008-2033) using MATLAB language, the research found that these models can be used to predict consumer price indexes that include large fluctuations in their amounts.

There is an increase in the level of the consumer price and some of the main sections and a decrease in some of the other predicted, which led to an increase in the annual inflation rate a rise in some basic sections and a decrease in others.