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...
| المؤلفون الرئيسيون: | , , , , |
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| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
Nature Portfolio
2024-07-01
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| سلاسل: | Scientific Reports |
| الوصول للمادة أونلاين: | https://doi.org/10.1038/s41598-024-64778-y |