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.

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Title Prediction of parallel clay cracks using neural networks – a feasibility study
Author(s) Choudhury, Tanveer
Costa, SusangaORCID iD for 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

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