Abstract: The paper presents an approach which combines the concept of macro-level BIM-based cost analyzes and application of artificial intelligence tools – namely artificial neural networks. Discussion and foundations of the proposed approach are introduced in the paper to clarify the problem's core. An exemplary case study reports the results of initial studies on the application of neural networks for the purposes of BIM-based cost analysis of a buildings' floor structural frame. The results obtained justify the proposal of application of neural networks as a supportive mathematical tool in the problem presented in the paper.
Chicago style references: Juszczyk, Michał. "Studies on the ANN implementation in the macro BIM cost analyzes." Scientific Review Engineering and Environmental Sciences, 76 ser., vol. 26, no 2, (2017): 183-192. doi: 10.22630/PNIKS.2017.26.2.16.