Two-Phase Optimization for PINN Training

Dimary Moreno López

Two-Phase Optimization for PINN Training

Optimization and Control 2024-09-12 v1

Authors: Dimary Moreno López

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.

Keywords

neural networks optimization

Cite

@article{arxiv.2409.07296,
  title  = {Two-Phase Optimization for PINN Training},
  author = {Dimary Moreno López},
  journal= {arXiv preprint arXiv:2409.07296},
  year   = {2024}
}

Comments

8 pages

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