Generalized lump solutions, classical lump solutions and rogue waves of the (2+1)-dimensional Caudrey-Dodd-Gibbon-Kotera-Sawada-like equation

•The lump solution method is generalized.•The CDGKS-like equation is derived through the generalized bilinear method.•The new rogue wave solution is constructed by using “3-2-2” neural network model. Under investigation in this paper is the (2+1)-dimensional Caudrey-Dodd-Gibbon-Kotera-Sawada-like (C...

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Bibliographic Details
Published in:Applied mathematics and computation Vol. 403; p. 126201
Main Authors: Zhang, Run-Fa, Li, Ming-Chu, Albishari, Mohammed, Zheng, Fu-Chang, Lan, Zhong-Zhou
Format: Journal Article
Language:English
Published: Elsevier Inc 15.08.2021
Subjects:
Bilinear neural network method
CDGKS-Like equation
Generalized bilinear transformation
Bilinear neural network method
Generalized bilinear transformation
CDGKS-Like equation
ISSN:0096-3003
Online Access:Get full text
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Summary:•The lump solution method is generalized.•The CDGKS-like equation is derived through the generalized bilinear method.•The new rogue wave solution is constructed by using “3-2-2” neural network model. Under investigation in this paper is the (2+1)-dimensional Caudrey-Dodd-Gibbon-Kotera-Sawada-like (CDGKS-like) equation. Based on bilinear neural network method, the generalized lump solution, classical lump solution and the novel analytical solution are constructed by giving some specific activation functions in the single hidden layer neural network model and the “3-2-2” neural network model. By means of symbolic computation, these analytical solutions and corresponding rogue waves are obtained with the help of Maple software. These results fill the blank of the CDGKS-like equation in the existing literature. Via various three-dimensional plots, curve plots, density plots and contour plots, dynamical characteristics of these waves are exhibited. The effective methods used in this paper is helpful to study the nonlinear evolution equations in plasmas, mathematical physics, electromagnetism and fluid dynamics.
ISSN:0096-3003
DOI:10.1016/j.amc.2021.126201