Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/11324
Title: Gross domestic product estimation based on electricity utilization by artificial neural network
Authors: Stevanovic, Mirjana
Vujicic, Sladjana
Gajic A.
Issue Date: 2018
Abstract: © 2017 Elsevier B.V. The main goal of the paper was to estimate gross domestic product (GDP) based on electricity estimation by artificial neural network (ANN). The electricity utilization was analyzed based on different sources like renewable, coal and nuclear sources. The ANN network was trained with two training algorithms namely extreme learning method and back-propagation algorithm in order to produce the best prediction results of the GDP. According to the results it can be concluded that the ANN model with extreme learning method could produce the acceptable prediction of the GDP based on the electricity utilization.
URI: https://scidar.kg.ac.rs/handle/123456789/11324
Type: article
DOI: 10.1016/j.physa.2017.07.023
ISSN: 0378-4371
SCOPUS: 2-s2.0-85026727387
Appears in Collections:Faculty of Engineering, Kragujevac

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