Approximating Partial Differential Equations with Physics-Informed Legendre Multiwavelets CNN
The purpose of this paper is to leverage the advantages of physics-informed neural network (PINN) and convolutional neural network (CNN) by using Legendre multiwavelets (LMWs) as basis functions to approximate partial differential equations (PDEs). We call this method Physics-Informed Legendre Multi...
Main Authors: | Yahong Wang, Wenmin Wang, Cheng Yu, Hongbo Sun, Ruimin Zhang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
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Series: | Fractal and Fractional |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-3110/8/2/91 |
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