Forecasting crude oil prices: a deep learning model

The deep learning model's popularity in engineering has attracted considerable economicand financial research interests.We use the deepened knowledge model from this paper tounderstand the unknown, nonlinear complex feature of the movement in crude oil prices.We also propose a new model based on the indepth knowledge of the prediction of hybridcrude oil. The model proposed analyses and models major shifts in crude oil prices. Basedon price data on the crude oil markets of the WTI, the performance of the model isevaluated. The empirical results show the predictive accuracy of the proposed model hasbeen improved.proposed a model Neural Network Genetic Algorithms to predictvariations in crude oil prices.A comprehensive studyof crude oil prediction models based on AI and ML was provided.