DRO

The prediction of damage condition of light structures on expansive soil in Victoria, Australia using an artificial intelligent approach

Osman, N. Y. and McManus, K. J. 2005, The prediction of damage condition of light structures on expansive soil in Victoria, Australia using an artificial intelligent approach, in Workshop on the Neural Networks for Civil Engineering Applications 2005, The Workshop, [Malaysia].


Title The prediction of damage condition of light structures on expansive soil in Victoria, Australia using an artificial intelligent approach
Author(s) Osman, N. Y.
McManus, K. J.
Conference name Neural Networks for Civil Engineering Applications. Workshop (2005 : University Putra, Malaysia)
Conference location University Putra, Malaysia
Conference dates 9 Nov. 2005
Title of proceedings Workshop on the Neural Networks for Civil Engineering Applications 2005
Publication date 2005
Publisher The Workshop
Place of publication [Malaysia]
Notes Invited Paper
Language eng
Field of Research 120199 Architecture not elsewhere classified
Socio Economic Objective 970112 Expanding Knowledge in Built Environment and Design
HERDC Research category L1.1 Full written paper - refereed (minor conferences)
Persistent URL http://hdl.handle.net/10536/DRO/DU:30031951

Document type: Conference Paper
Collection: School of Architecture and Built Environment
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Access Statistics: 189 Abstract Views  -  Detailed Statistics
Created: Mon, 13 Dec 2010, 09:55:02 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.