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Updated: Feb 1, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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基于机器学习的估计和优化Phoenix Dactylifera种子粉末增强乙烯基生物复合材料的优化

V Vignesh1,2, S Sathees Kumar3, A M Arun Mohan4

  • 1Center for Advanced Energy Materials, SRM TRP Engineering College, Tiruchirappalli, Tamil Nadu, 621105, India.

Scientific reports
|January 30, 2026
PubMed
概括

这项研究开发了一个机器学习 (ML) 框架来预测复合材料的特性. 支持矢量机 (SVM) 模型准确地预测了用Phoenix Dactylifera种子粉末 (PDSP) 增强的可持续乙烯基复合材料的机械和热特性.

关键词:
达克提利弗拉种子粉机器学习模型机器学习模型机械性质 机械性质热性能 热性质 热性质乙烯基埃斯特树脂树脂的使用

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