TY  - CONF
AU  - Radovanović, Slobodan
AU  - Milivojević, Vladimir
AU  - Cirović, V.
AU  - Divac, Dejan
AU  - Milivojević, Nikola
PY  - 2015
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/668
AB  - The goal of this paper is to assess the effectiveness of using artificial neural networks in the prediction of concrete dam deformation. The aging of dams as a concrete structures poses a significant risk for the environment, and many of them are at the stage where it is necessary to pay attention to their behaviour. Short-term term prediction of deformation is very important for rapid response in the case of any adverse events. Two examples are presented in this paper to investigate how short-term prediction of deformation can be realized by using artificial neural networks. As a comparison, a set of statistical linear regression models are established using the same data. The conclusions on the basis of the analysis and the established models are presented. The paper provides an assessment of the network structure and a comparison of neural network models for the usual concept of statistical models for the monitoring of dams.
PB  - Civil-Comp Press
C3  - Civil-Comp Proceedings
T1  - Prediction of concrete dam deformation using artificial neural networks
VL  - 109
UR  - https://hdl.handle.net/21.15107/rcub_grafar_668
ER  - 

@conference{
author = "Radovanović, Slobodan and Milivojević, Vladimir and Cirović, V. and Divac, Dejan and Milivojević, Nikola",
year = "2015",
abstract = "The goal of this paper is to assess the effectiveness of using artificial neural networks in the prediction of concrete dam deformation. The aging of dams as a concrete structures poses a significant risk for the environment, and many of them are at the stage where it is necessary to pay attention to their behaviour. Short-term term prediction of deformation is very important for rapid response in the case of any adverse events. Two examples are presented in this paper to investigate how short-term prediction of deformation can be realized by using artificial neural networks. As a comparison, a set of statistical linear regression models are established using the same data. The conclusions on the basis of the analysis and the established models are presented. The paper provides an assessment of the network structure and a comparison of neural network models for the usual concept of statistical models for the monitoring of dams.",
publisher = "Civil-Comp Press",
journal = "Civil-Comp Proceedings",
title = "Prediction of concrete dam deformation using artificial neural networks",
volume = "109",
url = "https://hdl.handle.net/21.15107/rcub_grafar_668"
}

Radovanović, S., Milivojević, V., Cirović, V., Divac, D.,& Milivojević, N.. (2015). Prediction of concrete dam deformation using artificial neural networks. in Civil-Comp Proceedings
Civil-Comp Press., 109.
https://hdl.handle.net/21.15107/rcub_grafar_668

Radovanović S, Milivojević V, Cirović V, Divac D, Milivojević N. Prediction of concrete dam deformation using artificial neural networks. in Civil-Comp Proceedings. 2015;109.
https://hdl.handle.net/21.15107/rcub_grafar_668 .

Radovanović, Slobodan, Milivojević, Vladimir, Cirović, V., Divac, Dejan, Milivojević, Nikola, "Prediction of concrete dam deformation using artificial neural networks" in Civil-Comp Proceedings, 109 (2015),
https://hdl.handle.net/21.15107/rcub_grafar_668 .