Learning Discrete Lagrangians for Variational PDEs from Data and Detection of Travelling Waves
نویسندگان
چکیده
The article shows how to learn models of dynamical systems from data which are governed by an unknown variational PDE. Rather than employing reduction techniques, we a discrete field theory Lagrangian density $L_d$ that is modelled as neural network. Careful regularisation the loss function for training necessary obtain suitable numerical computations: derive term optimises solvability Euler--Lagrange equations. Secondly, develop method find solutions machine learned theories constitute travelling waves underlying continuous
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ژورنال
عنوان ژورنال: Lecture Notes in Computer Science
سال: 2023
ISSN: ['1611-3349', '0302-9743']
DOI: https://doi.org/10.1007/978-3-031-38271-0_57