Di-CNN:

Shenghan Guo1, Dali Wang2, Zhili Feng2

  • 1The School of Manufacturing Systems and Networks, Arizona State University, Mesa, AZ 85212, USA.

PubMed
概括

本研究介绍了Di-CNN,这是一种新的卷积神经网络 (CNN) 模型,它将制造领域的知识与传感器数据集成在一起,以提高质量预测. 与传统的CNN相比,Di-CNN模型显著提高了准确性和可解释性.

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