Symbolically Solving Partial Differential Equations using Deep Learning

We describe a neural-based method for generating exact or approximate solutions to differential equations in the form of mathematical expressions. Unlike other neural methods, our system returns symbolic expressions that can be interpreted directly. Our method uses a neural architecture for learning...

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Veröffentlicht in:	arXiv.org 2020-11
Hauptverfasser:	Panju, Maysum, Parand, Kourosh, Ghodsi, Ali
Format:	Artikel
Sprache:	eng
Schlagworte:	Complex variables Deep learning Mathematical analysis Partial differential equations
Online-Zugang:	Volltext
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