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Updated: May 10, 2025

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通过物理信息的神经网络对动态系统的响应估计和系统识别

Marcus Haywood-Alexander1, Giacomo Arcieri1, Antonios Kamariotis1

  • 1Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, Wolfgang-Pauli Strasse, 8049 Zürich, Switzerland.

Advanced modeling and simulation in engineering sciences
|April 28, 2025
PubMed
概括

基于物理学的神经网络 (PINNs) 能够有效地识别动态系统,即使存在建模错误. PINNs为结构动态中的状态和参数估计提供了强大的方法,增强了结构健康监测和设计.

关键词:
机器学习 机器学习物理增强的增强物理.国家估计国家估计.结构性健康监测 结构性健康监测系统识别 系统识别

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