Two-Phase Optimization for PINN Training

Dimary Moreno López

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arXiv · 2409.07296

Two-Phase Optimization for PINN Training

Dimary Moreno López

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Abstract

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.

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Dimary Moreno López. 2024-09-11. Two-Phase Optimization for PINN Training. https://arxiv.org/abs/2409.07296

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