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基于实验和机器学习的聚四乙烯复合材料的tribological属性的预测

Yingnan Yan1, Jiliang Du1, Shiwei Ren2

  • 1College of Information Engineering, Lanzhou Petrochemical University of Vocational Technology, Lanzhou 730060, China.

Polymers
|February 10, 2024
PubMed
概括

机器学习模型准确地预测了聚四乙烯 (PTFE) 复合材料的 Tribological 特性. 梯度增强回归 (GBR) 显示出有效性,负载和速度显著影响摩擦和磨损.

关键词:
皮尔森相关系数的相关系数机器学习是机器学习.聚四乙烯复合材料的复合材料预测 预测 预测 预测部落学 (tribology) 是一个学科.

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