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Keywords: XGBoost
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Journal Articles
Journal:
Journal of Tribology
Publisher: ASME
Article Type: Research Papers
J. Tribol. July 2025, 147(7): 074601.
Paper No: TRIB-24-1388
Published Online: November 26, 2024
... to accurately capture this complexity. To address this issue, this paper proposes a model for predicting the COF of wet friction components using an extreme gradient boosting (XGBoost) algorithm optimized by the sparrow search algorithm (SSA). This model effectively captures the nonlinear relationships among...