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Hybrid model based on recursive feature elimination with cross validation and Tradaboost for workpiece surface topography prediction of five-axis flank milling

Crossref DOI link: https://doi.org/10.1007/s00170-022-08846-5

Published Online: 2022-02-22

Published Print: 2022-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Jin, Shancheng

He, Gaiyun

Song, Yumeng

Sang, Yicun
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (No. 51675378)
License Information

Text and Data Mining valid from 2022-02-22

Version of Record valid from 2022-02-22
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Article History

Received: 10 September 2021

Accepted: 27 January 2022

First Online: 22 February 2022

Declarations

:

: This article does not contain any studies with human participants or animals performed by any of the authors. In this experiment, we did not collect any samples of human and animals.

: All the authors, namely Shancheng Jin, Gaiyun He, Yumeng Song and Yicun Sang, have contented to participate in the paper and agreed to submit the manuscript.

: The authors declare no competing interests.

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