HIGHLIGHTS
- who: Zele Li et al. from the School of Civil Engineering, Southeast University, Nanjing, China have published the research: A Deep Learning-Based Approach for the Identification of a Multi-Parameter BWBN Model, in the Journal: (JOURNAL)
- what: This model has been applied for the response prediction and modeling restoring-force behavior in structural and mechanical engineering systems by adjusting the distribution range of this model`s parameters. Identifying a suitable multi-parameter SHM is the focus of this paper. This model can reproduce and predict the stiffness governing equations of the BWBN model are . . .
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