TY  - JOUR
AU  - Beljkas, Z.
AU  - Knežević, Miloš
AU  - Rutešić, Snežana
AU  - Ivanisevic, Nenad
PY  - 2020
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3353
AB  - Estimation of basic material consumption in civil engineering is very important in the initial phases of project implementation. Its
importance is reflected in the impact of material quantities on forming the prices of individual positions, hence on forming the
total cost of construction. The construction companies use the estimate of material quantity, among other things, as a base to make
a bid on the market. The precision of the offer, taking into account the overall conditions of the business realization, directly
influences the profit that the company can make on a specific project. In the early stages of project implementation, there are not
enough available data, especially when it comes to the data needed to estimate material consumption, and therefore, the accuracy
of material consumption estimation in the early stages of project realization is smaller. The paper presents the research on the use
of artificial intelligence for the estimation of concrete and reinforcement consumption and the selection of optimal models for
estimation. The estimation model was developed by using artificial neural networks. The best artificial neural network model
showed high accuracy in material consumption estimation expressed as the mean absolute percentage error, 8.56% for concrete
consumption estimate and 17.31% for reinforcement consumption estimate.
PB  - Hindawi
T2  - Advances in Civil Engineering
T1  - Application of Artificial Intelligence for the Estimation of Concrete and Reinforcement Consumption in the Construction of Integral Bridges
VL  - 2020
DO  - 10.1155/2020/8645031
ER  - 

@article{
author = "Beljkas, Z. and Knežević, Miloš and Rutešić, Snežana and Ivanisevic, Nenad",
year = "2020",
abstract = "Estimation of basic material consumption in civil engineering is very important in the initial phases of project implementation. Its
importance is reflected in the impact of material quantities on forming the prices of individual positions, hence on forming the
total cost of construction. The construction companies use the estimate of material quantity, among other things, as a base to make
a bid on the market. The precision of the offer, taking into account the overall conditions of the business realization, directly
influences the profit that the company can make on a specific project. In the early stages of project implementation, there are not
enough available data, especially when it comes to the data needed to estimate material consumption, and therefore, the accuracy
of material consumption estimation in the early stages of project realization is smaller. The paper presents the research on the use
of artificial intelligence for the estimation of concrete and reinforcement consumption and the selection of optimal models for
estimation. The estimation model was developed by using artificial neural networks. The best artificial neural network model
showed high accuracy in material consumption estimation expressed as the mean absolute percentage error, 8.56% for concrete
consumption estimate and 17.31% for reinforcement consumption estimate.",
publisher = "Hindawi",
journal = "Advances in Civil Engineering",
title = "Application of Artificial Intelligence for the Estimation of Concrete and Reinforcement Consumption in the Construction of Integral Bridges",
volume = "2020",
doi = "10.1155/2020/8645031"
}

Beljkas, Z., Knežević, M., Rutešić, S.,& Ivanisevic, N.. (2020). Application of Artificial Intelligence for the Estimation of Concrete and Reinforcement Consumption in the Construction of Integral Bridges. in Advances in Civil Engineering
Hindawi., 2020.
https://doi.org/10.1155/2020/8645031

Beljkas Z, Knežević M, Rutešić S, Ivanisevic N. Application of Artificial Intelligence for the Estimation of Concrete and Reinforcement Consumption in the Construction of Integral Bridges. in Advances in Civil Engineering. 2020;2020.
doi:10.1155/2020/8645031 .

Beljkas, Z., Knežević, Miloš, Rutešić, Snežana, Ivanisevic, Nenad, "Application of Artificial Intelligence for the Estimation of Concrete and Reinforcement Consumption in the Construction of Integral Bridges" in Advances in Civil Engineering, 2020 (2020),
https://doi.org/10.1155/2020/8645031 . .

TY  - CONF
AU  - Beljkas, Z.
AU  - Praščević, Živojin
AU  - Ivanišević, Nenad
AU  - Knežević, Miloš
AU  - Cvetkovska, Meri
PY  - 2019
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/990
AB  - Selection process of a construction contractor is highly important and successful implementation of a project and realization of sustainability are largely dependent on it. Computer programs - expert systems - may be used to help the employer or his consultants in the process of best tenderer selection. This paper presents a new expert system based on the implementation of fuzzy logic as an aid in selecting a contractor for construction of high rise buildings.
PB  - Institute of Physics Publishing
C3  - IOP Conference Series: Earth and Environmental Science
T1  - Application of Fuzzy Logic on Selection of Contractors for Construction of High Rise Buildings
IS  - 1
VL  - 222
DO  - 10.1088/1755-1315/222/1/012021
ER  - 

@conference{
author = "Beljkas, Z. and Praščević, Živojin and Ivanišević, Nenad and Knežević, Miloš and Cvetkovska, Meri",
year = "2019",
abstract = "Selection process of a construction contractor is highly important and successful implementation of a project and realization of sustainability are largely dependent on it. Computer programs - expert systems - may be used to help the employer or his consultants in the process of best tenderer selection. This paper presents a new expert system based on the implementation of fuzzy logic as an aid in selecting a contractor for construction of high rise buildings.",
publisher = "Institute of Physics Publishing",
journal = "IOP Conference Series: Earth and Environmental Science",
title = "Application of Fuzzy Logic on Selection of Contractors for Construction of High Rise Buildings",
number = "1",
volume = "222",
doi = "10.1088/1755-1315/222/1/012021"
}

Beljkas, Z., Praščević, Ž., Ivanišević, N., Knežević, M.,& Cvetkovska, M.. (2019). Application of Fuzzy Logic on Selection of Contractors for Construction of High Rise Buildings. in IOP Conference Series: Earth and Environmental Science
Institute of Physics Publishing., 222(1).
https://doi.org/10.1088/1755-1315/222/1/012021

Beljkas Z, Praščević Ž, Ivanišević N, Knežević M, Cvetkovska M. Application of Fuzzy Logic on Selection of Contractors for Construction of High Rise Buildings. in IOP Conference Series: Earth and Environmental Science. 2019;222(1).
doi:10.1088/1755-1315/222/1/012021 .

Beljkas, Z., Praščević, Živojin, Ivanišević, Nenad, Knežević, Miloš, Cvetkovska, Meri, "Application of Fuzzy Logic on Selection of Contractors for Construction of High Rise Buildings" in IOP Conference Series: Earth and Environmental Science, 222, no. 1 (2019),
https://doi.org/10.1088/1755-1315/222/1/012021 . .