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]. Attached Files Name Description MIMEType Size Downloads 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 Collections: Faculty of Science, Engineering and Built Environment School of Architecture and Built Environment   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 13 Dec 2010, 09:55:02 EST Tue, 14 Dec 2010, 08:35:18 EST Thu, 10 Mar 2011, 13:03:33 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 264 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 13 Dec 2010, 09:55:02 EST

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