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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Bibliographic Details

Main Authors:	Jiang-Long Shen, Run-Fa Zhang, Jing-Wen Huang, Jing-Bin Liang
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2025-09-01
Series:	Mathematics
Subjects:	neural network-based symbolic computation (2+1)-dimensional YTSF equation exact solutions nonlinear partial differential equations
Online Access:	https://www.mdpi.com/2227-7390/13/18/3006
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