Bagging-gradient boosting decision tree based milling cutter wear status prediction modelling

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2523-3971

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Bagging-gradient boosting decision tree based milling cutter wear status prediction modelling ; volume:3 ; number:12 ; day:20 ; month:11 ; year:2021 ; pages:1-10 ; date:12.2021
SN applied sciences ; 3, Heft 12 (20.11.2021), 1-10, 12.2021

Creator: Xu, Weiping
Li, Wendi
Zhang, Yao
Zhang, Taihua
Chen, Huawei

Contributor: SpringerLink (Online service)

DOI: 10.1007/s42452-021-04856-2

URN: urn:nbn:de:101:1-2022012919431968855563

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:29 AM CEST

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Xu, Weiping
Li, Wendi
Zhang, Yao
Zhang, Taihua
Chen, Huawei
SpringerLink (Online service)

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Bagging-gradient boosting decision tree based milling cutter wear status prediction modelling

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