Enhancing artificial neural network learning efficiency through Singular value decomposition for solving partial differential equations

Enhancing artificial neural network learning efficiency through Singular value decomposition for solving partial differential equations

Partial differential equations (PDEs) hold significant potential for modelling natural phenomena. It is essential to look at a practical way to solve the PDEs. Recently, Artificial Neural Networks (ANN) have emerged as promising tool for approximating PDE solutions. This approach stands out for its...

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Bibliographic Details
Main Authors: Alfi Bella Kurniati, Maharani A. Bakar, Nur Fadhilah Ibrahim, Hanani Farhah Harun
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Results in Applied Mathematics
Subjects:
Partial differential equations
Artificial neural networks
Singular value decomposition
Thin SVD
Compact SVD
Truncated SVD
Online Access:http://www.sciencedirect.com/science/article/pii/S259003742400092X

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http://www.sciencedirect.com/science/article/pii/S259003742400092X

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