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Developing optimal neural network metamodels based on prediction intervals

Khosravi, Abbas, Nahavandi, Saeid and Creighton, Doug 2009, Developing optimal neural network metamodels based on prediction intervals, in IJCNN 2009 : Proceedings of the IEEE Neural Networks 2009 international joint conference, IEEE, Piscataway, N.J., pp. 1583-1589, doi: 10.1109/IJCNN.2009.5178591.

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Title Developing optimal neural network metamodels based on prediction intervals
Author(s) Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Creighton, DougORCID iD for Creighton, Doug orcid.org/0000-0002-9217-1231
Conference name IEEE Neural Networks. International Joint Conference (2009 : Atlanta, Georgia)
Conference location Atlanta, Georgia
Conference dates 14 - 19 Jun. 2009
Title of proceedings IJCNN 2009 : Proceedings of the IEEE Neural Networks 2009 international joint conference
Editor(s) [Unknown]
Publication date 2009
Conference series IEEE Neural Networks International Joint Conference
Start page 1583
End page 1589
Total pages 7
Publisher IEEE
Place of publication Piscataway, N.J.
Notes ©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ISBN 9781424435531
ISSN 1098-7576
Language eng
DOI 10.1109/IJCNN.2009.5178591
Field of Research 080602 Computer-Human Interaction
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2009, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30029278

Document type: Conference Paper
Collections: Centre for Intelligent Systems Research
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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.