A Novel Neural Network-Based Approach Comparable to High-Precision Finite Difference Methods

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Detalles Bibliográficos
Publicado en:	Axioms vol. 14, no. 1 (2025), p. 75
Autor principal:	Pei, Fanghua
Otros Autores:	Cao, Fujun, Ge, Yongbin
Publicado:	MDPI AG
Materias:	Finite volume method Accuracy Physics Partial differential equations Deep learning Mathematical analysis Neural networks Adaptability Mathematical models Finite difference method Least squares method Basis functions Numerical analysis Linear equations Boundary conditions Optimization algorithms Efficiency
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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