Predicting flow strength of austenitic steels with an IPANN model using different training strategies

Kong, Lingxue and Hodgson, Peter D 2000, Predicting flow strength of austenitic steels with an IPANN model using different training strategies, Advances in engineering software, vol. 31, no. 12, pp. 945-954, doi: 10.1016/S0965-9978(00)00059-4.

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Title Predicting flow strength of austenitic steels with an IPANN model using different training strategies
Author(s) Kong, LingxueORCID iD for Kong, Lingxue orcid.org/0000-0001-6219-3897
Hodgson, Peter D
Journal name Advances in engineering software
Volume number 31
Issue number 12
Start page 945
End page 954
Total pages 10
Publisher Elsevier Science
Place of publication Amsterdam, The Netherlands
Publication date 2000-12
ISSN 0965-9978
Keyword(s) artificial neural networks
constitutive model
flow strength
austenitic steels
training strategies
prediction accuracy
Language eng
DOI 10.1016/S0965-9978(00)00059-4
Field of Research 08 Information And Computing Sciences
09 Engineering
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2000, Civil-Comp Ltd. and Elsevier Science Ltd.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30070641

Document type: Journal Article
Collections: Institute for Frontier Materials
GTP Research
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