Determination of Accuracy at Backpropagation Method in Prediction Crude Oil Prices
Journal: SAR Journal - Science and Research (Vol.4, No. 4)Publication Date: 2021-12-27
Authors : Jhon Veri Surmayanti Surmayanti Guslendra Guslendra;
Page : 181-184
Keywords : Backpropagation; Accuracy; Prediction;
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%.
Other Latest Articles
- Global E-government Trends, Challenges and Opportunities
- Implementation of Contextual Learning Model Efforts to Improve the Quality of Online Learning of Professional English Students
- The Effectiveness of STEM for Sea Project to Improve Cadets’ Performance as Preparation for Onboard Training
- 4G to 5G Network Evolution: Advantages and Differences
- Quality Of Education System As A Determinant Of Socio-Economic Development: Assessment Of Technological Level Of Readyness
Last modified: 2022-01-08 07:25:01