حميد رضا عبدلي آراني

The price of energy is one of the most effective basic goods for the economy of countries, especially oil-dependent countries. For different periods of time from 1973 to 2022, the price of oil has been affected by various parameters, which have caused large fluctuations in oil price. According to the effects of the parameters and also according to the policies of the countries and important natural factors that have occurred within the countries, as well as the rate of disease preva‎lence in the countries and the rate of economic indicators, the purpose of this research is to use the network of Neural and using particle swarm meta-heuristic algorithm for feature selection, these changes have been investigated and determine the features and also adjust the parameters, it is eva‎luated using the lasso model.

قيمت‌هاي نفت , اثر اقتصادي , پيش بيني مدل , انتخاب ويژگي , داده كاوي

Oil Prices , Economic effect , Model prediction , Feature selection , data mining

Hamid Reza Abdoli

Dr. Jafar Sajjadi