Prediction of Geometric Characteristics of Laser Cladding Layer Based on Least Squares Support Vecto...
Prediction of Geometric Characteristics of Laser Cladding Layer Based on Least Squares Support Vector Regression and Crested Porcupine Optimization
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Author / Creator
Li, Xiangpan , Xu, Junfei , Wang, Junhua , Lu, Yan , Han, Jianhai , Guo, Bingjing and Xie, Tancheng
Publisher
Switzerland: MDPI AG
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Language
English
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Publication information
Publisher
Switzerland: MDPI AG
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Contents
The morphology size of laser cladding is a crucial parameter that significantly impacts the quality and performance of the cladding layer. This study proposes a predictive model for the cladding morphology size based on the Least Squares Support Vector Regression (LSSVR) and the Crowned Porcupine Optimization (CPO) algorithm. Specifically, the prop...
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Full title
Prediction of Geometric Characteristics of Laser Cladding Layer Based on Least Squares Support Vector Regression and Crested Porcupine Optimization
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TN_cdi_doaj_primary_oai_doaj_org_article_d1c2b27b9c804832ad33b603844a95b8
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d1c2b27b9c804832ad33b603844a95b8
Other Identifiers
ISSN
2072-666X
E-ISSN
2072-666X
DOI
10.3390/mi15070919
