2021
DOI: 10.18421/sar44-05
|View full text |Cite
|
Sign up to set email alerts
|

Determination of Accuracy at Backpropagation Method in Prediction Crude Oil Prices

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… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 2 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?