Connections Between Numerical Algorithms for PDEs and Neural Networks

We investigate numerous structural connections between numerical algorithms for partial differential equations (PDEs) and neural architectures. Our goal is to transfer the rich set of mathematical foundations from the world of PDEs to neural networks. Besides structural insights, we provide concrete...

Descripción completa

Detalles Bibliográficos
Autores principales: Alt, Tobias, Schrader, Karl, Augustin, Matthias, Peter, Pascal, Weickert, Joachim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883332/
https://www.ncbi.nlm.nih.gov/pubmed/36721706
http://dx.doi.org/10.1007/s10851-022-01106-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883332/
https://www.ncbi.nlm.nih.gov/pubmed/36721706
http://dx.doi.org/10.1007/s10851-022-01106-x

Ejemplares similares