Data-driven forward and inverse analysis of two-dimensional soil consolidation using physics-informed neural network
Employing machine learning algorithms to forecast the behavior of nonlinear spatiotemporal systems, such as soil consolidation induced by land reclamation, has been popular in recent years. Although pure data-driven models demonstrate strong performance within their training domain, i.e., in-sample...
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| Main Authors: | , , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
2024
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| 在線閱讀: | https://hdl.handle.net/10356/179542 |
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