Gradient Statistics-Based Multi-Objective Optimization in Physics-Informed Neural Networks

Modeling and simulation of complex non-linear systems are essential in physics, engineering, and signal processing. Neural networks are widely regarded for such tasks due to their ability to learn complex representations from data. Training deep neural networks traditionally requires large amounts o...

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Detalles Bibliográficos
Autores principales: Vemuri, Sai Karthikeya, Denzler, Joachim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650063/
https://www.ncbi.nlm.nih.gov/pubmed/37960365
http://dx.doi.org/10.3390/s23218665

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650063/
https://www.ncbi.nlm.nih.gov/pubmed/37960365
http://dx.doi.org/10.3390/s23218665

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