Physics-encoded Deep Neural Networks for Prediction of Nonlinear Seismic Responses under Noisy Input Signals
| dc.contributor.author | Dongjin Kim | |
| dc.contributor.author | Junho Song | |
| dc.date.accessioned | 2025-11-19T14:59:18Z | |
| dc.date.available | 2025-11-19T14:59:18Z | |
| dc.date.issued | 2025-08-10 | |
| dc.identifier.uri | https://www.lib.ncsu.edu/resolver/1840.20/46054 | |
| dc.publisher | IASMiRT | |
| dc.relation.ispartofseries | D5 - Response Characterization Using Testing and Analysis Techniques | |
| dc.relation.ispartofseries | D5-TS58 - Structure Response, Modelling due to Seismic Loads | |
| dc.relation.ispartofseries | 00 - SMiRT 25 - Toronto, Canada. August 10-15, 2025 | |
| dc.title | Physics-encoded Deep Neural Networks for Prediction of Nonlinear Seismic Responses under Noisy Input Signals | |
| dc.type | Conference Proceeding |
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