Prediction of parallel clay cracks using neural networks – a feasibility study Choudhury, Tanveer and Costa, Susanga 2019, Prediction of parallel clay cracks using neural networks – a feasibility study, in GeoMEast : Proceedings of the 2nd GeoMEast International Congress and Exhibition on Sustainable Civil Infrastructures, Egypt 2018 –The Official International Congress of the Soil-Structure Interaction Group in Egypt (SSIGE), Springer, Cham, Switzerland, pp. 214-244, doi: 10.1007/978-3-030-01941-9_19. Attached Files Name Description MIMEType Size Downloads Title Prediction of parallel clay cracks using neural networks – a feasibility study Author(s) Choudhury, Tanveer Costa, Susanga orcid.org/0000-0001-5194-7542 Conference name Soil-Structure Interaction Group. International Congress (2nd : 2018 : Egypt) Conference location Egypt Conference dates 2018/11/11 - 2018/11/28 Title of proceedings GeoMEast : Proceedings of the 2nd GeoMEast International Congress and Exhibition on Sustainable Civil Infrastructures, Egypt 2018 –The Official International Congress of the Soil-Structure Interaction Group in Egypt (SSIGE) Editor(s) Hemeda, Sayed Bouassida, Mounir Publication date 2019 Series Soil-Structure Interaction Group International Congress Start page 214 End page 244 Total pages 11 Publisher Springer Place of publication Cham, Switzerland Keyword(s) cracking clay initial moisture content desiccation cracks hidden layer neurons minimum generalization error ISBN 978-3-030-01941-9 Language eng DOI 10.1007/978-3-030-01941-9_19 Indigenous content off HERDC Research category E1.1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30138837 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Engineering Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 12 Jun 2020, 10:41:58 EST Fri, 12 Jun 2020, 15:14:20 EST Fri, 12 Jun 2020, 15:22:14 EST Tue, 16 Jun 2020, 06:04:32 EST Tue, 16 Jun 2020, 14:12:58 EST Tue, 16 Jun 2020, 14:15:27 EST Tue, 16 Jun 2020, 14:16:12 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 28 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Fri, 12 Jun 2020, 10:41:58 EST

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