PINNIES: An Efficient Physics-Informed Neural Network Framework to Integral Operator Problems

This paper introduces an efficient tensor-vector product technique for the rapid and accurate approximation of integral operators within physics-informed deep learning frameworks. Our approach leverages neural network architectures to evaluate problem dynamics at specific points, while employing Gau...

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Hauptverfasser:	Aghaei, Alireza Afzal, Moghaddam, Mahdi Movahedian, Parand, Kourosh
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Numerical Analysis Mathematics - Numerical Analysis
Online-Zugang:	Volltext bestellen
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