Determination of Accuracy at Backpropagation Method in Prediction Crude Oil Prices
Determination of Accuracy at Backpropagation Method in Prediction Crude Oil Prices
Author(s): Jhon Veri, Surmayanti Surmayanti, Guslendra GuslendraSubject(s): Business Economy / Management, Energy and Environmental Studies
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: Backpropagation; Accuracy; Prediction
Summary/Abstract: We analyzed the performance of the artificial neural network with the backpropagation method in predicting crude oil prices in this paper, including the case of crude oil price predictions. The training results obtained that the MSE value was 0.00099762 with 135 Epoch, in the network testing the MSE value was 0.093336. Meanwhile, the predicted value is determined by the target value with a contribution of 99% with a significant effect. Thus the accuracy level is determined by the target value and the predicted value. The accuracy of the system is obtained for 83,6%.
Journal: SAR Journal - Science and Research
- Issue Year: 4/2021
- Issue No: 4
- Page Range: 181-184
- Page Count: 4
- Language: English