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Input convex neural networks: universal approximation theorem and implementation for isotropic polyconvex hyperelastic energies

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Geuken, Gian-Luca, Kurzeja, Patrick, Wiedemann, David, Mosler, Jörn
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computational Engineering, Finance, and Science Artificial Intelligence 74B20, 68T07 J.2; I.2.1
Accesso online:	Acceder al recurso
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