Neural Network-Based Symbolic Computation Algorithm for Solving (2+1)-Dimensional Yu-Toda-Sasa-Fukuyama Equation

This paper presents a Neural Network-Based Symbolic Computation Algorithm (NNSCA) for solving the (2+1)-dimensional Yu-Toda-Sasa-Fukuyama (YTSF) equation. By combining neural networks with symbolic computation, NNSCA bypasses traditional method limitations, deriving and visualizing exact solutions....

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Autores principales:	Jiang-Long Shen, Run-Fa Zhang, Jing-Wen Huang, Jing-Bin Liang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2025-09-01
Colección:	Mathematics
Materias:	neural network-based symbolic computation (2+1)-dimensional YTSF equation exact solutions nonlinear partial differential equations
Acceso en línea:	https://www.mdpi.com/2227-7390/13/18/3006
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