A GA-based neural network weight optimization technique for semi-supervised classifier learning

Skabar, Andrew 2003, A GA-based neural network weight optimization technique for semi-supervised classifier learning, in Design and application of hybrid intelligent systems, IOS, Washington, D.C., pp. 139-146.

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Title A GA-based neural network weight optimization technique for semi-supervised classifier learning
Author(s) Skabar, Andrew
Conference name International Conference on Hybrid Intelligent Systems (3rd : 2003 : Melbourne, Vic.)
Conference location Melbourne, Vic.
Conference dates 14-17 Dec. 2003
Title of proceedings Design and application of hybrid intelligent systems
Editor(s) Abraham, Ajith
Koppen, Mario
Franke, Katrin
Publication date 2003
Start page 139
End page 146
Publisher IOS
Place of publication Washington, D.C.
ISBN 1586033948
9781586033941
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005036

Document type: Conference Paper
Collection: School of Information Technology
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