Adelaide Research & Scholarship
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https://hdl.handle.net/2440/101547
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Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ghandar, A. | - |
| dc.contributor.author | Michalewicz, Z. | - |
| dc.contributor.author | Zurbruegg, R. | - |
| dc.date.issued | 2016 | - |
| dc.identifier.citation | International Journal of Forecasting, 2016; 32(3):598-613 | - |
| dc.identifier.issn | 0169-2070 | - |
| dc.identifier.issn | 1872-8200 | - |
| dc.identifier.uri | http://hdl.handle.net/2440/101547 | - |
| dc.description.abstract | Abstract not available | - |
| dc.description.statementofresponsibility | Adam Ghandar, Zbigniew Michalewicz, Ralf Zurbruegg | - |
| dc.language.iso | en | - |
| dc.publisher | Elsevier | - |
| dc.rights | © 2016 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved. | - |
| dc.source.uri | http://dx.doi.org/10.1016/j.ijforecast.2015.10.003 | - |
| dc.subject | Financial forecasting; computer intelligence optimization; evolutionary algorithms | - |
| dc.title | The relationship between model complexity and forecasting performance for computer intelligence optimization in finance | - |
| dc.type | Journal article | - |
| dc.identifier.doi | 10.1016/j.ijforecast.2015.10.003 | - |
| dc.relation.grant | http://purl.org/au-research/grants/arc/DP1096053 | - |
| pubs.publication-status | Published | - |
| dc.identifier.orcid | Zurbruegg, R. [0000-0002-8652-0028] | - |
| Appears in Collections: | Aurora harvest 3 Computer Science publications | |
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