Semiconductor Price Index Predicting Based on a Novel Improved AdaBoost Feature-Weighted Combination Model
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Semiconductor Price Index Predicting Based on a Novel Improved AdaBoost Feature-Weighted Combination Model ; volume:17 ; number:1 ; day:2 ; month:4 ; year:2024 ; pages:1-21 ; date:12.2024
International journal of computational intelligence systems ; 17, Heft 1 (2.4.2024), 1-21, 12.2024
- Creator
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Chen, Feng
Jiang, Qi
Deng, Hongyu
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s44196-024-00465-0
- URN
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urn:nbn:de:101:1-2406162104016.346191498344
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 11:01 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Chen, Feng
- Jiang, Qi
- Deng, Hongyu
- SpringerLink (Online service)
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