Transfer learning of neural operators for partial differential equations based on sparse network λ-FNO.
When the solution domain, internal parameters, and initial and boundary conditions of partial differential equation (PDE) are changed, many potential characteristics of the equation's solutions are still similar. This provides the possibility to reduce the cost of PDE operator learning through...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0321154 |
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