Graph-Informed Neural Networks for Sparse Grid-Based Discontinuity Detectors

In this paper, we present a novel approach for detecting the discontinuity interfaces of a discontinuous function. This approach leverages Graph-Informed Neural Networks (GINNs) and sparse grids to address discontinuity detection also in domains of dimension larger than 3. GINNs, trained to identify...

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Veröffentlicht in:	arXiv.org 2024-03
Hauptverfasser:	Francesco Della Santa, Pieraccini, Sandra
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Detectors Discontinuity Neural networks Robustness (mathematics)
Online-Zugang:	Volltext
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