Development and application of a deep learning–based sparse autoencoder framework for structural damage identification
© The Author(s) 2018. This article proposes a deep sparse autoencoder framework for structural damage identification. This framework can be employed to obtain the optimal solutions for some pattern recognition problems with highly nonlinear nature, such as learning a mapping between the vibration ch...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Published: |
Sage Publications
2019
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| Online Access: | http://hdl.handle.net/20.500.11937/74812 |