| dc.contributor.author | Shahin, Mohamed | |
| dc.contributor.author | Jaksa, M. | |
| dc.contributor.author | Maier, H. | |
| dc.date.accessioned | 2017-01-30T15:24:20Z | |
| dc.date.available | 2017-01-30T15:24:20Z | |
| dc.date.created | 2015-03-03T20:16:50Z | |
| dc.date.issued | 2008 | |
| dc.identifier.citation | Shahin, M. and Jaksa, M. and Maier, H. 2008. State of the Art of Artificial Neural Networks in Geotechnical Engineering. The Electronic Journal of Geotechnical Engineering. Bouquest08: pp. 1-26. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/45940 | |
| dc.publisher | W3G: The World Wide Web of Geotechnical Engineers | |
| dc.relation.uri | http://www.ejge.com/Bouquet08/Shahin/Shahin_ppr.pdf | |
| dc.title | State of the Art of Artificial Neural Networks in Geotechnical Engineering | |
| dc.type | Journal Article | |
| dcterms.source.volume | Bouquest08 | |
| dcterms.source.startPage | 1 | |
| dcterms.source.endPage | 26 | |
| dcterms.source.issn | 1089-3032 | |
| dcterms.source.title | The Electronic Journal of Geotechnical Engineering | |
| curtin.department | Department of Civil Engineering | |
| curtin.accessStatus | Fulltext not available | |
