An Inflation Rate Prediction Based on Backpropagation Neural Network Algorithm

International Journal of artificial intelligence research

View Publication Info
 
 
Field Value
 
Title An Inflation Rate Prediction Based on Backpropagation Neural Network Algorithm
 
Creator Purnawansyah, Purnawansyah
Haviluddin, Haviluddin
Setyadi, Hario Jati
Wong, Kelvin
Alfred, Rayner
 
Subject artificial intelligence; machine learning; prediction
BPNN; MSE; Prediction; Inflation Rates; Economic
 
Description This article aims to predict the inflation rate in Samarinda, East Kalimantan by implementing an intelligent algorithm, Backpropagation Neural Network (BPNN). The inflation rate data was obtained from the Provincial Statistics Bureau of Samarinda https://samarindakota.bps.go.id/ for the period January 2012 to January 2017. The method used to measure accuracy algorithm prediction was the mean square error (MSE). Based on the experiment results, the BPNN method with architectural parameters of 5-5-5-1; the learning function was trainlm; the activation functions were logsig and purelin; the learning rate was 0.1 and able to produce a good level of prediction error with an MSE value of 0.00000424. The results showed that the BPNN algorithm can be used as an alternative method in predicting inflation rates in order to support sustainable economic growth, so that it can improve the welfare of the people in Samarinda, East Kalimantan.
 
Publisher STMIK Dharma Wacana
 
Contributor Universitas Mulawarman
 
Date 2019-07-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ijair.id/index.php/ijair/article/view/112
10.29099/ijair.v3i2.112
 
Source International Journal of Artificial Intelligence Research; Vol 3, No 2 (2019): In Press
2579-7298
10.29099/ijair.v3i2
 
Language eng
 
Relation http://ijair.id/index.php/ijair/article/view/112/pdf
http://ijair.id/index.php/ijair/article/downloadSuppFile/112/25
 
Rights Copyright (c) 2019 International Journal of Artificial Intelligence Research
https://creativecommons.org/licenses/by-sa/4.0
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library