Two-Phase Optimization for PINN Training
Fuente:
arXiv
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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866929496925405184 |
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| author | López, Dimary Moreno |
| author_facet | López, Dimary Moreno |
| contents | This work presents an algorithm for training Neural Networks where the loss function can be decomposed into two non-negative terms to be minimized. The proposed method is an adaptation of Inexact Restoration algorithms, constituting a two-phase method that imposes descent conditions. Some performance tests are carried out in PINN training. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_07296 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Two-Phase Optimization for PINN Training López, Dimary Moreno Optimization and Control This work presents an algorithm for training Neural Networks where the loss function can be decomposed into two non-negative terms to be minimized. The proposed method is an adaptation of Inexact Restoration algorithms, constituting a two-phase method that imposes descent conditions. Some performance tests are carried out in PINN training. |
| title | Two-Phase Optimization for PINN Training |
| topic | Optimization and Control |
| url | https://arxiv.org/abs/2409.07296 |