Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations
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Title
Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations
Authors
Keywords
Physics-informed neural networks, Extreme learning machine, Functional interpolation, Numerical methods, Universal approximator, Least-squares
Journal
NEUROCOMPUTING
Volume 457, Issue -, Pages 334-356
Publisher
Elsevier BV
Online
2021-06-08
DOI
10.1016/j.neucom.2021.06.015
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