A modified neural network model for predicting the crude oil price

Abstract

Predicting the crude oil price is very interesting and prominent for all governments and different companies. Here a neutral network model has been modified, in a way that a genetic algorithm optimizes its parameters during its run. This model is able to predict the future price of crude oil very accurately. Comparing the model of this study with the pure neural network in predicting both daily and monthly crude oil prices confirmed its greater performance, especially in situation of small number of input data for training or the great changes of variables.