Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/22621
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dc.contributor.authorMilosevic, Bojan-
dc.contributor.authorKojić, Nenad-
dc.contributor.authorPetrović, Žarko-
dc.contributor.editorBulatovic, Radovan-
dc.date.accessioned2025-10-29T07:37:02Z-
dc.date.available2025-10-29T07:37:02Z-
dc.date.issued2025-
dc.identifier.issn2812-9474en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/22621-
dc.description.abstractArtificial intelligence (AI) has found wide application in solving many problems in engineering and also in construc tion, where its application is primarily reflected in faster and simpler solving of calculation problems. Artificial Neural Networks (ANN), as a method of artificial intelligence, are applied in the problems of construction design, manage ment when making decisions, data analysis, design, optimization and prediction of construction responses. In the design phase of masonry structures, one of the main tasks is to adequately define the mechanical characteristics of the wall as a basis for quality design. The aim of this paper is to present and analyze the scientific results of the appli cation of ANN in the determination of some of the mechanical characteristics of the walls in masonry constructions.en_US
dc.language.isoenen_US
dc.relation.ispartofEngineering todayen_US
dc.subjectArtificial neural networksen_US
dc.subjectMasonry structuresen_US
dc.subjectCompressive strengthen_US
dc.subjectCreepen_US
dc.subjectBiaxial failureen_US
dc.titleOverview of the application of Artificial Neural Networks in the determination of some mechanical characteristics of masonry wallsen_US
dc.typearticleen_US
dc.description.versionPublisheden_US
dc.type.versionPublishedVersionen_US
Appears in Collections:Faculty of Mechanical and Civil Engineering, Kraljevo

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