通气管
Korteweg–de Vries方程
畸形波
物理
数学物理
周期波
数学分析
经典力学
行波
量子电动力学
数学
量子力学
非线性系统
作者
Wanguang Zheng,Yaqing Liu,Jingyi Chu
标识
DOI:10.1142/s0217984924504633
摘要
In this paper, the ([Formula: see text])-dimensional KdV equation is investigated by using the bilinear neural network method (BNNM). We construct six neural network models, extending beyond single hidden layer models to create deeper and broader network structures (e.g. [3-3-1], [3-4-1], [3-1-3-1], [3-4-1-1], [3-2-2-1] and [3-2-3-1-1] models). Introducing specific activation functions into the neural network model enables the generation of various test functions, resulting in novel solutions for equations that include rogue wave solutions, lump-kink solutions, periodic soliton solution, breather-like solutions and lump solutions. The physical properties of these novel solutions are vividly depicted through three-dimensional plots, density plots, and curve plots. The findings contribute to a better understanding of the propagation behavior of shallow water waves.
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