Structural damage identification based on autoencoder neural networks and deep learning
© 2018 Elsevier Ltd Artificial neural networks are computational approaches based on machine learning to learn and make predictions based on data, and have been applied successfully in diverse applications including structural health monitoring in civil engineering. It is difficult to optimize the w...
| Main Authors: | Pathirage, C., Li, Jun, Li, L., Hao, Hong, Liu, Wan-Quan, Ni, P. |
|---|---|
| Format: | Journal Article |
| Published: |
Pergamon
2018
|
| Online Access: | http://hdl.handle.net/20.500.11937/68711 |
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