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Updated: Jun 3, 2025

Surrogate Model Development for Digital Experiments in Welding
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使用机器学习算法和多层感知子预测RSW参数对相似和不相似关节的切削力和小块直径的影响

Marwan T Mezher1,2, Alejandro Pereira1, Tomasz Trzepieciński3

  • 1Departamento de Deseño na Enxeñaría, Universidade de Vigo, 36310 Vigo, Spain.

Materials (Basel, Switzerland)
|January 8, 2025
PubMed
概括

机器学习和人工神经网络准确地预测了阻力点质量,分析了用于提高汽车应用中的制造效率的关键参数. 这项研究为接过程优化提供了新的见解.

关键词:
这就是 SHAP SHAP 的意思.人工神经网络的人工神经网络机器学习是机器学习.小块的直径是小块的直径相对重要性 (RI)电阻点接 电阻点接 电阻点接 电阻点接剪切力是一种剪切力.

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