Comparing and Analyzing the Effectiveness of Hybrid Machine Learning Model for Crude Oil Price Prediction

The world economy, environment, oil exploration, and other activities are all directly impacted by crude oil prices. Crude oil is one of the world’s most valuable resources and a necessary fuel. Crude oil plays a crucial role in every economy today. A new, research system for projecting long haul evaluating must be created in light of the fact that pandemics have made oil costs more unpredictable as of late. The ANN-PSO hybrid algorithm is utilized in this study to make predictions regarding the price of crude oil. There are two parts to the strategy for implementation. The first phase involves putting in place a straightforward ANN model, while the second phase explains how to put in place a hybrid model called ANN-PSO. The same stock market data set was used to test both models, and the results indicate that the hybrid model is superior to the straightforward ANN model.