Epoch Analysis and Accuracy 3 ANN Algorithm Using Consumer Price Index Data in Indonesia
M. Fauzan, Dedi Suhendro, Iin Parlina, Bahrudi Efendi Damanik, Pani Akhiruddin Siregar, Nani Hidayati, Anjar Wanto · OSF Preprints (OSF Preprints) · 2018
This research uses Backpropagation Algorithm, Conjugate Gradient Fletcher-Reeves (CGFR) and Resilient. The purpose of this research is to see how much iteration and accuracy using this method compared with the level of iteration and accuracy in previous research using only backpropagation algorithm with Conjugate Gradient Fletcher-Reeves (CGFR) only in measuring consumer price index level. The data used as an example in this study is the Consumer Price Index (CPI) data based on foodstuffs sourced from the Central Statistics Agency Pematangsiantar Indonesia. There are 5 similar network architectures used in previous research and in this study for more objective results, including 12-6-1, 12-15-1, 12-24-1, 12-33-1 and 12- 34-1. In the previous study, the best architecture was 12-15-1, with epoch level when using backpropagation algorithm of 821 iterations with 75% accuracy and Gradient fletcher reeves of 2 iterations with 67% accuracy. While the results of this study using the same architecture will be obtained epoch of 19 iterations with an accuracy of 50%. So it can be concluded that the use of backpropagation algorithm and gradient fletcher reeves to produce iteration and accuracy level better when compared with Resilient Algorithm