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Application of a ridge regression–optimized polynomial model for predicting the strength and toughness of laser–CMT hybrid welds in 7075 aluminum alloy

Xiaocui Wu et al.

Journal of Intelligent Manufacturing2026https://doi.org/10.1007/s10845-026-02822-6article
AJG 1ABDC B
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0.50

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https://doi.org/https://doi.org/10.1007/s10845-026-02822-6

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@article{xiaocui2026,
  title        = {{Application of a ridge regression–optimized polynomial model for predicting the strength and toughness of laser–CMT hybrid welds in 7075 aluminum alloy}},
  author       = {Xiaocui Wu et al.},
  journal      = {Journal of Intelligent Manufacturing},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s10845-026-02822-6},
}

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Application of a ridge regression–optimized polynomial model for predicting the strength and toughness of laser–CMT hybrid welds in 7075 aluminum alloy

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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