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RandONet: Shallow-Networks with Random Projections for learning linear and nonlinear operators

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Fabiani, Gianluca, Kevrekidis, Ioannis G., Siettos, Constantinos, Yannacopoulos, Athanasios N.
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Numerical Analysis Dynamical Systems 65M32, 65D12, 65J22, 41A35, 68T20, 65D15, 68T07, 68W20, 41A35
Accès en ligne:	Acceder al recurso
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