The exact analytical solutions of the (2+1)-dimensional extended Korteweg–de Vries equation using bilinear neural network method and bilinear residual network method

The [Formula: see text]-dimensional extended Korteweg–de Vries (KdV) equation is predominantly utilized to elucidate the propagation of waves that exhibit both dispersive and nonlinear characteristics within the domain of nonlinear physics. This paper employs the bilinear neural network method (BNNM) to derive the exact analytical solutions of the equation. By constructing various bilinear neural network models, we obtain lump solution, breather solution and periodic interaction solution of the equation. The bilinear residual network method (BRNM) is an extension of BNNM. We apply BRNM under specific constraints to obtain breather solution of the equation, thereby offering a broader conceptual framework. Subsequently, various 3D plots, contour plots, density plots and x-curves are used to illustrate the physical properties and dynamic behaviors of these waves.

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Publication Details

Journal
Modern Physics Letters B
Published
2024-10-16
DOI
https://doi.org/10.1142/s0217984925500459
Citations
2
Primary Topic
Nonlinear Waves and Solitons
Type
article
Field-Weighted Citation Impact
0.56

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article

The exact analytical solutions of the (2+1)-dimensional extended Korteweg–de Vries equation using bilinear neural network method and bilinear residual network method

Yongli Wang, Yuanlin Liu, Zhimin Ma
2 citations
Modern Physics Letters B
Nonlinear Waves and Solitons
0.56
article

The exact analytical solutions of the (2+1)-dimensional extended Korteweg–de Vries equation using bilinear neural network method and bilinear residual network method

Yongli Wang, Yuanlin Liu, Zhimin Ma
article en
2 citations

Abstract

The [Formula: see text]-dimensional extended Korteweg–de Vries (KdV) equation is predominantly utilized to elucidate the propagation of waves that exhibit both dispersive and nonlinear characteristics within the domain of nonlinear physics. This paper employs the bilinear neural network method (BNNM) to derive the exact analytical solutions of the equation. By constructing various bilinear neural network models, we obtain lump solution, breather solution and periodic interaction solution of the equation. The bilinear residual network method (BRNM) is an extension of BNNM. We apply BRNM under specific constraints to obtain breather solution of the equation, thereby offering a broader conceptual framework. Subsequently, various 3D plots, contour plots, density plots and x-curves are used to illustrate the physical properties and dynamic behaviors of these waves.

Modern Physics Letters BVol. 39(19)
Chengdu University of Technology (CN), Southwestern Institute of Physics (CN), The Engineering & Technical College of Chengdu University of Technology, Sichuan Normal University (CN)
Visual Computing and Virtual Reality Key Laboratory of Sichuan Province
Openalex Percentile: Top 34%
Nonlinear Waves and Solitons
0.56
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The exact analytical solutions of the (2+1)-dimensional extended Korteweg–de Vries equation using bilinear neural network method and bilinear residual network method — Yongli Wang, Yuanlin Liu, et al. · Modern Physics Letters B (2024) | TGRS Research Map | TGRS