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http://hdl.handle.net/20.500.12188/2466
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lazarevska, Marijana | en_US |
dc.contributor.author | Trombeva Gavriloska, Ana | en_US |
dc.contributor.author | Cvetkovska, Meri | en_US |
dc.contributor.author | Knezevic, Milos | en_US |
dc.date.accessioned | 2019-07-15T10:52:05Z | - |
dc.date.available | 2019-07-15T10:52:05Z | - |
dc.date.issued | 2016-03 | - |
dc.identifier.isbn | 978-86-82707-30-1 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/2466 | - |
dc.description.abstract | Neural networks have a wide spectrum of application in different fields of human life and they can be used for solving numerous problems, such as: management of production processes, economic and financial analyses, prognostic models, prediction of time, optimization, prediction of market value etc. The positive aspects of artificial neural networks can be also applied in civil engineering, for prediction and prognostic modeling, project management, planning, optimization and decision making process. | en_US |
dc.language.iso | en | en_US |
dc.publisher | University of Montenegro, Faculty of Civil Engineering | en_US |
dc.subject | neural networks, management of civil engineering projects, construction productivity | en_US |
dc.title | Application of Neural Networks for Management of Civil Engineering Projects and Prediction of Construction Productivity | en_US |
dc.type | Article | en_US |
dc.relation.conference | 6th International Conference Civil Engineering - Science and Practice | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
crisitem.author.dept | Faculty of Civil Engineering | - |
crisitem.author.dept | Faculty of Architecture | - |
crisitem.author.dept | Faculty of Civil Engineering | - |
Appears in Collections: | Faculty of Civil Engineering: Conference papers |
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File | Size | Format | |
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T17 0010 Lazarevska_Trombeva-Gavriloska_Cvetkovska_Knezevic_-_GNP2016.pdf | 578.94 kB | Unknown | View/Open |
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