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Updated: Jan 29, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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确定用通用机器学习框架在电放电加工中的材料移除和电极磨损

Jorge M Cortés-Mendoza1, Agnieszka Żyra2, Andrei Tchernykh3,4

  • 1Cloud Competency Centre, National College of Ireland, Mayor Street, IFSC, D01 K6W2 Dublin, Ireland.

Materials (Basel, Switzerland)
|January 28, 2026
PubMed
概括

机器学习模型,特别是随机森林和人工神经网络,可以准确预测电放电加工 (EDM) 的性能. 这些模型显著降低了实验成本,并提高了材料移除率 (MRR) 和电极磨损率 (EWR) 的预测准确度.

关键词:
通过冷处理进行冷处理.电动放电机械加工 电动放电机械加工电极磨损率 电极磨损率 电极磨损率机器学习是机器学习.材料去除速度的速度.

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