Affiliation:
1. College of Science, Inner Mongolia Agriculture University, Hohhot 010018, China
Abstract
Using the bilinear neural network method (BNNM) and the symbolic computation system Mathematica, this paper explains how to find an exact solution for the (2+1)-dimensional Korteweg–de Vries–Sawada–Kotera–Ramani (KdVSKR) equation. In terms of activation function and weight coefficient, BNNM is a more appealing option for users than traditional symbolic computation methods. It is possible to develop a wide range of solutions and expand the classes of exact solutions by modifying the activation function. The activation function’s versatility allows it to generate a wide range of solutions with several theoretical and practical uses. The analytical solution is obtained by using a double layer type, while the rogue wave solution and mixed solutions are obtained by using a single layer type. The evolution of these waves is then illustrated using various 3D graphs, 2D graphs, and density plots.
Funder
National Natural Science Foundation of China
Scientific Research Ability of Youth Teachers of Inner Mongolia Agricultural University
the Natural Science Foundation of Inner Mongolia Autonomous Region of China
the Program for Young Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region
Publisher
World Scientific Pub Co Pte Ltd
Cited by
1 articles.
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