Progressive transfer learning for advancing machine learning-based reduced-order modeling
Abstract To maximize knowledge transfer and improve the data requirement for data-driven machine learning (ML) modeling, a progressive transfer learning for reduced-order modeling (p-ROM) framework is proposed. A key concept of p-ROM is to selectively transfer knowledge from previously trained ML mo...
| Main Authors: | , , , , |
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| 格式: | 文件 |
| 语言: | English |
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Nature Portfolio
2024-07-01
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| 丛编: | Scientific Reports |
| 在线阅读: | https://doi.org/10.1038/s41598-024-64778-y |