双线性插值
残余物
Korteweg–de Vries方程
人工神经网络
应用数学
双线性形式
计算机科学
数学
数学分析
物理
算法
非线性系统
人工智能
量子力学
统计
作者
Zhimin Ma,Yuanlin Liu,Yongli Wang
标识
DOI:10.1142/s0217984925500459
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI