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注塑成型质量评估的预测方法,比较线性回归和神经网络

Angel Fernández1, Isabel Clavería1, Carmelo Pina1

  • 1Department of Mechanical Engineering, University of Zaragoza EINA, María de Luna, 3, 50018 Zaragoza, Spain.

Polymers
|October 14, 2023
PubMed
概括

本研究介绍了一种基于模拟的方法,使用实验设计和人工神经网络 (ANN) 来优化回收聚烯零件设计. 逆向传播神经网络 (BPNN) 有效地关联多个质量特征,从而使体重显著减少.

关键词:
一个注射的注射.线性回归是一种线性回归.神经网络的神经网络的神经网络聚烯聚烯的使用方法质量预测质量预测再循环的回收物质.模拟模拟是指一个模拟模拟.

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