Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/101547
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Type: Journal article
Title: The relationship between model complexity and forecasting performance for computer intelligence optimization in finance
Author: Ghandar, A.
Michalewicz, Z.
Zurbruegg, R.
Citation: International Journal of Forecasting, 2016; 32(3):598-613
Publisher: Elsevier
Issue Date: 2016
ISSN: 0169-2070
1872-8200
Statement of
Responsibility: 
Adam Ghandar, Zbigniew Michalewicz, Ralf Zurbruegg
Abstract: Abstract not available
Keywords: Financial forecasting; computer intelligence optimization; evolutionary algorithms
Rights: © 2016 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
DOI: 10.1016/j.ijforecast.2015.10.003
Grant ID: http://purl.org/au-research/grants/arc/DP1096053
Published version: http://dx.doi.org/10.1016/j.ijforecast.2015.10.003
Appears in Collections:Aurora harvest 3
Computer Science publications

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