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Application of artificial neural networks in civil engineering

Marijana Lazarevska orcid id orcid.org/0000-0002-9090-071X ; University Ss. Cyril and Methodius in Skopje, Faculty of Civil Engineering, Partizanski odredi 24, 1000 Skopje, Macedonia
Milos Knezevic orcid id orcid.org/0000-0002-4952-9699 ; University of Montenegro, Faculty of Civil Engineering, Cetinjski put b.b., Podgorica, Montenegro
Meri Cvetkovska ; University Ss. Cyril and Methodius in Skopje, Faculty of Civil Engineering, Partizanski odredi 24, 1000 Skopje, Macedonia
Ana Trombeva-Gavriloska ; University Ss. Cyril and Methodius in Skopje, Faculty of Civil Engineering, Partizanski odredi 24, 1000 Skopje, Macedonia


Puni tekst: hrvatski pdf 662 Kb

str. 1353-1359

preuzimanja: 4.654

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Puni tekst: engleski pdf 662 Kb

str. 1353-1359

preuzimanja: 3.229

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Sažetak

The application of artificial neural networks for solving complex civil engineering problems is of huge importance for the construction design process. They can be successfully used for prognostic modelling in different engineering fields, especially in those cases where some prior (numerical or experimental) analyses were already made. This paper presents some of the positive aspects of neural network’s model that was used for determination of fire resistance of construction elements.

Ključne riječi

artificial neural networks, civil engineering, fire resistance, prognostic modelling

Hrčak ID:

131329

URI

https://hrcak.srce.hr/131329

Podaci na drugim jezicima: hrvatski

Posjeta: 8.651 *