A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection

29 May 2020 Jianxi Yang Likai Zhang Cen Chen Yangfan Li Ren Li Guiping Wang Shixin Jiang Zeng Zeng

Structural damage detection has become an interdisciplinary area of interest for various engineering fields, while the available damage detection methods are being in the process of adapting machine learning concepts. Most machine learning based methods heavily depend on extracted ``hand-crafted" features that are manually selected in advance by domain experts and then, fixed... (read more)

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METHOD TYPE
Memory Network
Working Memory Models
GRU
Recurrent Neural Networks