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Published: Građevinar 69 (2017) 9
Paper type: Subject review
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Estimating investment value in railway lines reconstruction process

Ljiljana Milić Marković, Ljubo Marković, Goran Ćirović, Dragan Mihajlović

Abstract

A prognostic model for estimating investment value of reconstruction of railway lines using artificial neural networks is presented in the paper. The aim of the model is to improve the efficiency and effectiveness of decision making as related to investment in rail infrastructure projects. The model development process is presented and illustrated with an appropriate example, which points to the possibility of using the model for making a rough and rapid assessment of the investment value of railway-lines reconstruction, with a reliability of 80-85% when some input parameters are unknown

Keywords
railway infrastructure, investment value, reconstruction, artificial neural networks

HOW TO CITE THIS ARTICLE:

Milić Marković, L. ., Marković, L., Ćirović, G., Mihajlović, D.: Estimating investment value in railway lines reconstruction process, GRAĐEVINAR, 69 (2017) 9, pp. 885-892, doi: https://doi.org/10.14256/JCE.1013.2014

OR:

Milić Marković, L. ., Marković, L., Ćirović, G., Mihajlović, D. (2017). Estimating investment value in railway lines reconstruction process, GRAĐEVINAR, 69 (9), 885-892, doi: https://doi.org/10.14256/JCE.1013.2014

LICENCE:

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This paper is licensed under a Creative Commons Attribution 4.0 International License.
Authors:
Ljiljana Milic Markovic WEB
Ljiljana Milić Marković
University of Banja Luka
Faculty of Architectural and Civil Engineering and Geodesy
Ljubo Markovic slika
Ljubo Marković
Facufty of Technical Sciences
Kosovska Mitrovica
Goran Cirovic WEB
Goran Ćirović
University College for Civil Engineering and Geodesy
Mihajlovic WEB
Dragan Mihajlović
University of Banja Luka
Faculty of Architectural and Civil Engineering and Geodesy