Fundamental study on probabilistic generative modeling of earthquake ground motion time histories using generative adversarial networks
Abstract This study proposes a probabilistic model for earthquake ground motion prediction, named ground motion generation model, which can generate ground motion time history data directly. The ground motion generation model is based on a data‐driven technique called generative adversarial networks...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
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| Series: | Japan Architectural Review |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/2475-8876.12392 |