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图形卷积神经网络与单模决策融合神经网络相结合在结构损伤识别中的应用.

Xiaofei Li1, Langxing Xu1, Hainan Guo2

  • 1College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China.

Sensors (Basel, Switzerland)
|December 9, 2023
PubMed
概括

本研究介绍了一种新的单一模型决策融合神经网络 (S_DFNN) 用于结构损伤的识别. 这种先进的深度学习方法通过将数据融合与图形卷积神经网络 (GCNs) 集成来提高准确性.

关键词:
损害的识别损害的识别决策级数据融合决策级数据融合图表卷积神经网络 卷积神经网络模型测试 模型测试 模型测试传感器的空间特征

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