Preliminary Resource-based Estimates Combining Artificial Intelligence Approaches and Traditional Techniques
dc.contributor.author
García de Soto, Borja
dc.contributor.author
Adey, Bryan T.
dc.contributor.editor
Hajdu, Miklós
dc.contributor.editor
Skibniewski, Mirosław J.
dc.date.accessioned
2017-06-12T07:49:35Z
dc.date.available
2017-06-12T07:49:35Z
dc.date.issued
2016
dc.identifier.isbn
978-615-5270-24-6
dc.identifier.uri
http://hdl.handle.net/20.500.11850/117565
dc.language.iso
en
dc.publisher
Diamond Congress
dc.subject
Case-based reasoning
dc.subject
Hybrid estimation models
dc.subject
Neural networks
dc.subject
Regression analysis
dc.subject
Preliminary estimates of resources
dc.title
Preliminary Resource-based Estimates Combining Artificial Intelligence Approaches and Traditional Techniques
dc.type
Conference Paper
ethz.book.title
Proceedings of the 2016 Creative Construction Conference, 25-28 June 2016, Budapest, Hungary : CCC 2016
ethz.pages.start
237
ethz.pages.end
243
ethz.event
2016 Creative Construction Conference (CCC 2016)
ethz.event.location
Budapest, Hungary
ethz.event.date
June 25-28, 2016
ethz.identifier.scopus
ethz.publication.place
Budapest
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02604 - Inst. für Bau- & Infrastrukturmanagement / Inst. Construction&Infrastructure Manag.::03859 - Adey, Bryan T. / Adey, Bryan T.
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02100 - Dep. Architektur / Dep. of Architecture::02655 - Netzwerk Stadt und Landschaft D-ARCH::02226 - NSL - Netzwerk Stadt und Landschaft / NSL - Network City and Landscape
*
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02100 - Dep. Architektur / Dep. of Architecture::02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
*
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02604 - Inst. für Bau- & Infrastrukturmanagement / Inst. Construction&Infrastructure Manag.::03859 - Adey, Bryan T. / Adey, Bryan T.
ethz.date.deposited
2017-06-12T07:52:57Z
ethz.source
ECIT
ethz.identifier.importid
imp5936547b9b2ae88741
ethz.ecitpid
pub:179478
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-14T18:25:35Z
ethz.rosetta.lastUpdated
2024-02-02T00:11:34Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Preliminary%20Resource-based%20Estimates%20Combining%20Artificial%20Intelligence%20Approaches%20and%20Traditional%20Techniques&rft.date=2016&rft.spage=237&rft.epage=243&rft.au=Garc%C3%ADa%20de%20Soto,%20Borja&Adey,%20Bryan%20T.&rft.isbn=978-615-5270-24-6&rft.genre=proceeding&rft.btitle=Proceedings%20of%20the%202016%20Creative%20Construction%20Conference,%2025-28%20June%202016,%20Budapest,%20Hungary%20:%20CCC%202016
Files in this item
| Files | Size | Format | Open in viewer |
|---|---|---|---|
|
There are no files associated with this item. |
|||
Publication type
-
Conference Paper [34961]