Probabilistic Structural Damage Identification
with Uncertain Data by Deep Learning Techniques

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Probabilistic Structural Damage Identification with Uncertain Data by Deep Learning Techniques

This PhD thesis proposes innovative methods based on deep learning techniques, such as convolutional neural networks and Bayesian neural networks, for structural damage identification with uncertain data. These approaches improve the performance and reliability of structural damage detection and qua...

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Bibliographic Details
Main Author:	Zhong, Yue
Format:	Thesis
Published:	Curtin University 2024
Online Access:	http://hdl.handle.net/20.500.11937/96634

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