scholarly journals Predicting Impact of COVID-19 on Crude Oil Price Image with Directed Acyclic Graph Deep Convolution Neural Network

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
David O. Oyewola ◽  
Akomolafe Femi Augustine
Keyword(s):  
Neural Network ◽  
Crude Oil ◽  
Directed Acyclic Graph ◽  
Oil Price ◽  
Convolution Neural Network ◽  
Crude Oil Price ◽  
Acyclic Graph ◽  
Deep Convolution Neural Network ◽  
Price Image

Forecasting Crude Oil price using Artificial Neural Network model

2021 ◽  
pp. 321-326
Author(s):  
Sivaprakash J. ◽  
Manu K. S.
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Crude Oil ◽  
Back Propagation ◽  
Oil Prices ◽  
Oil Price ◽  
Back Propagation Algorithm ◽  
Crude Oil Price ◽  
Propagation Algorithm ◽  
Crude Oil Prices

In the advanced global economy, crude oil is a commodity that plays a major role in every economy. As Crude oil is highly traded commodity it is essential for the investors, analysts, economists to forecast the future spot price of the crude oil appropriately. In the last year the crude oil faced a historic fall during the pandemic and reached all time low, but will this situation last? There was analysis such as fundamental analysis, technical analysis and time series analyses which were carried out for predicting the movement of the oil prices but the accuracy in such prediction is still a question. Thus, it is necessary to identify better methods to forecast the crude oil prices. This study is an empirical study to forecast crude oil prices using the neural networks. This study consists of 13 input variables with one target variable. The data are divided in the ratio 70:30. The 70% data is used for training the network and 30% is used for testing. The feed forward and back propagation algorithm are used to predict the crude oil price. The neural network proved to be efficient in forecasting in the modern era. A simple neural network performs better than the time series models. The study found that back propagation algorithm performs better while predicting the crude oil price. Hence, ANN can be used by the investors, forecasters and for future researchers.

scholarly journals A modified neural network model for predicting the crude oil price

2016 ◽  
Vol 10 (2) ◽  
pp. 71-77 ◽  
Author(s):  
Mohammad Reza Mahdiani ◽  
Ehsan Khamehchi
Keyword(s):  
Neural Network ◽  
Crude Oil ◽  
Network Model ◽  
Neural Network Model ◽  
Oil Price ◽  
Crude Oil Price
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