Future challenges for artificial neural network modelling in geotechnical engineering

Bibliographic Details
Main Authors: Jaksa, M., Maier, H., Shahin, Mohamed
Other Authors: M N Jadhav
Format: Conference Paper
Published: International Association for Computer Methods and Advances in Geomechanics 2008
Online Access:http://hdl.handle.net/20.500.11937/19638
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author Jaksa, M.
Maier, H.
Shahin, Mohamed
author2 M N Jadhav
author_facet M N Jadhav
Jaksa, M.
Maier, H.
Shahin, Mohamed
author_sort Jaksa, M.
building Curtin Institutional Repository
collection Online Access
first_indexed 2025-11-14T07:31:16Z
format Conference Paper
id curtin-20.500.11937-19638
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T07:31:16Z
publishDate 2008
publisher International Association for Computer Methods and Advances in Geomechanics
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-196382022-11-21T06:47:05Z Future challenges for artificial neural network modelling in geotechnical engineering Jaksa, M. Maier, H. Shahin, Mohamed M N Jadhav O B Bhendigeri B H Rao A Patel S Shanthakumar S D Gumaste S B Shinde 2008 Conference Paper http://hdl.handle.net/20.500.11937/19638 International Association for Computer Methods and Advances in Geomechanics restricted
spellingShingle Jaksa, M.
Maier, H.
Shahin, Mohamed
Future challenges for artificial neural network modelling in geotechnical engineering
title Future challenges for artificial neural network modelling in geotechnical engineering
title_full Future challenges for artificial neural network modelling in geotechnical engineering
title_fullStr Future challenges for artificial neural network modelling in geotechnical engineering
title_full_unstemmed Future challenges for artificial neural network modelling in geotechnical engineering
title_short Future challenges for artificial neural network modelling in geotechnical engineering
title_sort future challenges for artificial neural network modelling in geotechnical engineering
url http://hdl.handle.net/20.500.11937/19638