Damage Identification of Long-Span Bridges Using the Hybrid of Convolutional Neural Network and Long Short-Term Memory Network

Damage Identification of Long-Span Bridges Using the Hybrid of Convolutional Neural Network and Long Short-Term Memory Network

The shallow features extracted by the traditional artificial intelligence algorithm-based damage identification methods pose low sensitivity and ignore the timing characteristics of vibration signals. Thus, this study uses the high-dimensional feature extraction advantages of convolutional neural ne...

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Bibliographic Details
Main Authors: Lei Fu, Qizhi Tang, Peng Gao, Jingzhou Xin, Jianting Zhou
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Algorithms
Subjects:
long-span bridge
long short-term memory network
convolutional neural network
damage identification
Online Access:https://www.mdpi.com/1999-4893/14/6/180

Internet

https://www.mdpi.com/1999-4893/14/6/180

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