Investigation of the effect of training and prediction window sizes on neural financial prediction models

Skabar, Andrew and Cloete, Ian 2003, Investigation of the effect of training and prediction window sizes on neural financial prediction models, in 2003 International Conference on Machine Learning and Cybernetics : proceedings, November 2-5, 2003, Sheraton Hotel, Xi'an, China, IEEE, Piscataway, N.J., pp. 2133-2137.

Attached Files
Name Description MIMEType Size Downloads

Title Investigation of the effect of training and prediction window sizes on neural financial prediction models
Author(s) Skabar, Andrew
Cloete, Ian
Conference name International Conference on Machine Learning and Cybernetics (2nd : 2003 : Xi'an, China)
Conference location Xi'an, China
Conference dates 2-5 Nov. 2003
Title of proceedings 2003 International Conference on Machine Learning and Cybernetics : proceedings, November 2-5, 2003, Sheraton Hotel, Xi'an, China
Editor(s) Wang, Xizhao
Publication date 2003
Start page 2133
End page 2137
Publisher IEEE
Place of publication Piscataway, N.J.
ISBN 0780378652
9780780378650
Language eng
Field of Research 140305 Time-Series Analysis
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:30005058

Document type: Conference Paper
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Access Statistics: 302 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Mon, 07 Jul 2008, 09:44:53 EST

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.