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Published: Građevinar 70 (2018) 9
Paper type: Preliminary report
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Estimation of recycling capacity using ANN and SVM

Aleksandra Vujkov, Dragana Bibić, Igor Peško, Vladimir Mučenski, Jasmina Dražić, Milan Trivunić

Abstract

This paper presents estimation of the quantity of concrete and reinforcement that can be recycled for residential buildings constructed as skeleton structures. Models based on artificial intelligence, involving the use of Artificial Neural Networks (ANNs) and the Support Vector Machines (SVM) methods, were formed in order to estimate quantities of these materials. The results show that the application of ANNs and SVM methods is a good solution for the estimation of recycling capacity. The mean absolute percentage error (MAPE) for the selected ANNs for predicting quantity of concrete and reinforcement is 8.74 % and 12.58 %, respectively.

Keywords
buildings, recycling, concrete, reinforcement, artificial neural networks, support vector machine method

HOW TO CITE THIS ARTICLE:

Vujkov, A., Bibić, D., Peško, I., Mučenski, V., Dražić, J., Trivunić, M.: Estimation of recycling capacity using ANN and SVM, GRAĐEVINAR, 70 (2018) 9, pp. 783-792, doi: https://doi.org/10.14256/JCE.2273.2017

OR:

Vujkov, A., Bibić, D., Peško, I., Mučenski, V., Dražić, J., Trivunić, M. (2018). Estimation of recycling capacity using ANN and SVM, GRAĐEVINAR, 70 (9), 783-792, doi: https://doi.org/10.14256/JCE.2273.2017

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This paper is licensed under a Creative Commons Attribution 4.0 International License.
Authors:
slika Aleksandra Vujkov
Aleksandra Vujkov
University of Novi Sad
Faculty of Technical Sciences
Department of Civil Engineering and Geodesy
slika Dragana Bibic
Dragana Bibić
University of Novi Sad
Faculty of Technical Sciences
Department of Civil Engineering and Geodesy
3 Pesko WEB
Igor Peško
University of Novi Sad
Faculty of Technical Sciences
Department of Civil Engineering and Geodesy
4 Mucenski WEB
Vladimir Mučenski
University of Novi Sad
Faculty of Technical Sciences
Department of Civil Engineering and Geodesy
5 Drazic WEB
Jasmina Dražić
University of Novi Sad
Faculty of Technical Sciences
Department of Civil Engineering and Geodesy
6 Trivunic WEB
Milan Trivunić
University of Novi Sad
Faculty of Technical Sciences
Department of Civil Engineering and Geodesy