Modeling load-settlement curves of behaviour bored piles using artificial neural networks

Bibliographic Details
Main Authors: Alkroosh, Iyad, Shahin, Mohamed, Nikraz, Hamid
Other Authors: Jana Frankovska
Format: Conference Paper
Published: Slovak University of Technology 2010
Online Access:http://hdl.handle.net/20.500.11937/29364
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author Alkroosh, Iyad
Shahin, Mohamed
Nikraz, Hamid
author2 Jana Frankovska
author_facet Jana Frankovska
Alkroosh, Iyad
Shahin, Mohamed
Nikraz, Hamid
author_sort Alkroosh, Iyad
building Curtin Institutional Repository
collection Online Access
first_indexed 2025-11-14T08:14:07Z
format Conference Paper
id curtin-20.500.11937-29364
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T08:14:07Z
publishDate 2010
publisher Slovak University of Technology
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-293642023-01-13T07:56:32Z Modeling load-settlement curves of behaviour bored piles using artificial neural networks Alkroosh, Iyad Shahin, Mohamed Nikraz, Hamid Jana Frankovska Jozef Hulla Martin Ondrasik Peter Turcek 2010 Conference Paper http://hdl.handle.net/20.500.11937/29364 Slovak University of Technology fulltext
spellingShingle Alkroosh, Iyad
Shahin, Mohamed
Nikraz, Hamid
Modeling load-settlement curves of behaviour bored piles using artificial neural networks
title Modeling load-settlement curves of behaviour bored piles using artificial neural networks
title_full Modeling load-settlement curves of behaviour bored piles using artificial neural networks
title_fullStr Modeling load-settlement curves of behaviour bored piles using artificial neural networks
title_full_unstemmed Modeling load-settlement curves of behaviour bored piles using artificial neural networks
title_short Modeling load-settlement curves of behaviour bored piles using artificial neural networks
title_sort modeling load-settlement curves of behaviour bored piles using artificial neural networks
url http://hdl.handle.net/20.500.11937/29364